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Recently hyped [2001.04932v1] ImagineNet: Restyling Apps Using Neural Style Transfer[2001.04451v1] Reformer: The Efficient Transformer[2001.04385v1] Universal Differential Equations for Scientific Machine Learning[2001.04230v1] Considering discrepancy when calibrating a mechanistic electrophysiology model[2001.03985v1] Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling[2001.03734v1] A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection[2001.03152v1] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias[2001.03147] Age-Partitioned Bloom Filters[2001.02968v1] How to trap a gradient flow[2001.02921v1] GRIDS: Interactive Layout Design with Integer Programming[2001.02905v1] Fast Adaptation to Super-Resolution Networks via Meta-Learning[2001.02899v1] Self-Supervised Fast Adaptation for Denoising via Meta-Learning[2001.02799v1] Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data[2001.02674v2] Streaming automatic speech recognition with the transformer model[2001.02611] Peer-to-Peer based Social Networks: A Comprehensive Survey[2001.02600] Deep Learning for Free-Hand Sketch: A Survey[2001.02478v1] Questioning the AI: Informing Design Practices for Explainable AI User Experiences[2001.02394v1] Convolutional Networks with Dense Connectivity[2001.02366v1] What can robotics research learn from computer vision research?[2001.01894v1] Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method[2001.01683] Improving Deep Neuroevolution via Deep Innovation Protection[2001.01678v1] How neural networks find generalizable solutions: Self-tuned annealing in deep learning[2001.01613v1] Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations[2001.01582v1] A Survey on Machine Reading Comprehension Systems[2001.01284v1] Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks[2001.01026v1] Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings[2001.00986v1] Inverse Rendering Techniques for Physically Grounded Image Editing[2001.00921v1] Wide Neural Networks with Bottlenecks are Deep Gaussian Processes[2001.00526v1] Lightweight Residual Densely Connected Convolutional Neural Network[2001.00426v1] Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications[2001.00179v1] DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection[2001.00101] Musings on the Current Status of HEP[2001.00030v1] Quantum Adversarial Machine Learning[1912.13503v1] Side-Tuning: Network Adaptation via Additive Side Networks[1912.13480v1] On the Difference Between the Information Bottleneck and the Deep Information Bottleneck[1912.13464v1] Model Inversion Networks for Model-Based Optimization[1912.13457v1] FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping[1912.13457] FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping[1912.13283v1] oLMpics -- On what Language Model Pre-training Captures[1912.13262] Fungal architecture[1912.13213] A Modern Introduction to Online Learning[1912.13209] Accrete, Accrete, Accrete... Bang! (and repeat): The Remarkable Recurrent Novae[1912.13200v2] AdderNet: Do We Really Need Multiplications in Deep Learning?[1912.13025] Semi-Supervised Learning with Normalizing Flows[1912.12693v1] A Gentle Introduction to Deep Learning for Graphs[1912.12522] NAS evaluation is frustratingly hard[1912.12294v1] Learning by Cheating[1912.12294] Learning by Cheating[1912.12290v1] Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization[1912.12180] Axial Attention in Multidimensional Transformers[1912.12033v1] Deep Learning for 3D Point Clouds: A Survey[1912.11975v1] Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation[1912.11959v2] Is Attention All What You Need? -- An Empirical Investigation on Convolution-Based Active Memory and Self-Attention[1912.11959v1] IS Attention All What You Need? -- An Empirical Investigation on Convolution-Based Active Memory and Self-Attention[1912.11853v1] Domain Adaptation Regularization for Spectral Pruning[1912.11570] SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks[1912.11474v1] Audio-Visual Embodied Navigation[1912.11473v1] Dense RepPoints: Representing Visual Objects with Dense Point Sets[1912.11464v1] Attack-Resistant Federated Learning with Residual-based Reweighting[1912.11460v2] Characterizing the Decision Boundary of Deep Neural Networks[1912.11430v1] TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network[1912.11370v1] Large Scale Learning of General Visual Representations for Transfer[1912.11333] Audio-based automatic mating success prediction of giant pandas[1912.11270v1] FALCON 2.0: An Entity and Relation Linking framework over Wikidata[1912.11211] Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization[1912.11176v1] Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport[1912.11121v1] Learning to Navigate Using Mid-Level Visual Priors[1912.11035v1] CNN-generated images are surprisingly easy to spot... for now[1912.11029v1] Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines[1912.11027v2] Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach[1912.11027] Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach[1912.10985] BackPACK: Packing more into backprop[1912.10917v1] FasterSeg: Searching for Faster Real-time Semantic Segmentation[1912.10824v1] Differentiable Reasoning on Large Knowledge Bases and Natural Language[1912.10292v1] Deep Audio Prior[1912.10154v1] Measuring Dataset Granularity[1912.10128v1] Learning Singing From Speech[1912.10013v1] secml: A Python Library for Secure and Explainable Machine Learning[1912.09729v1] Mastering Complex Control in MOBA Games with Deep Reinforcement Learning[1912.09529v1] Learning Convex Optimization Control Policies[1912.09393v1] Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks[1912.09322v1] PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI[1912.09257v1] Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems[1912.09253v1] Towards a Philological Metric through a Topological Data Analysis Approach[1912.08904v1] Macaw: An Extensible Conversational Information Seeking Platform[1912.08866] Continuous Meta-Learning without Tasks[1912.08830v1] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language[1912.08812v1] Research Frontiers in Transfer Learning -- a systematic and bibliometric review[1912.08809v1] Field Label Prediction for Autofill in Web Browsers[1912.08804v1] SynSin: End-to-end View Synthesis from a Single Image[1912.08795v1] Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion[1912.08766v1] RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms[1912.08193] PointRend: Image Segmentation as Rendering[1912.07938v1] How Personal is Machine Learning Personalization?[1912.07768v1] Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data[1912.07768] Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data[1912.07589v1] Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level[1912.07589] Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level[1912.07559v1] A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern[1912.07242v1] More Data Can Hurt for Linear Regression: Sample-wise Double Descent[1912.07109v1] SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization[1912.06874] The Liar's Walk: Detecting Deception with Gait and Gesture[1912.06670v1] Common Voice: A Massively-Multilingual Speech Corpus[1912.06404v1] Real-time texturing for 6D object instance detection from RGB Images[1912.06395v1] Neural Cages for Detail-Preserving 3D Deformations[1912.06126v1] Deep Structured Implicit Functions[1912.06112v1] Unified Generative Adversarial Networks for Controllable Image-to-Image Translation[1912.06101v1] The PlayStation Reinforcement Learning Environment (PSXLE)[1912.06088v2] Learning To Reach Goals Without Reinforcement Learning[1912.05877] Extending Machine Language Models toward Human-Level Language Understanding[1912.05684v1] Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments[1912.05656v1] VIBE: Video Inference for Human Body Pose and Shape Estimation[1912.05652] Learning Human Objectives by Evaluating Hypothetical Behavior[1912.05651v1] Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection[1912.05566v1] Neural Voice Puppetry: Audio-driven Facial Reenactment[1912.05537v1] Encoding Musical Style with Transformer Autoencoders[1912.05534v1] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition[1912.05523v1] $\mathbf{G^{3}AN}$: This video does not exist. Disentangling motion and appearance for video generation[1912.05372v2] FlauBERT: Unsupervised Language Model Pre-training for French[1912.05074v1] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation[1912.05032v1] Imitation Learning via Off-Policy Distribution Matching[1912.05013v2] Line-based Camera Pose Estimation in Point Cloud of Structured Environments[1912.04977v1] Advances and Open Problems in Federated Learning[1912.04259v2] An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks[1912.04217] Shared Visual Abstractions[1912.04158v1] Learning a Neural 3D Texture Space from 2D Exemplars[1912.04075v1] Temporal Factorization of 3D Convolutional Kernels[1912.03817v1] Machine Unlearning[1912.03629v1] VoronoiNet: General Functional Approximators with Local Support[1912.03426v1] Self-Supervised 3D Keypoint Learning for Ego-motion Estimation[1912.03295v1] Tools for Mathematical Ludology[1912.03263v1] Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One[1912.03263] Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One[1912.03249v1] Gaussian Process Priors for View-Aware Inference[1912.03192] Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations[1912.02923v1] Generating 3D People in Scenes without People[1912.02877v1] Training Agents using Upside-Down Reinforcement Learning[1912.02877] Training Agents using Upside-Down Reinforcement Learning[1912.02875] Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions[1912.02807] Combining Q-Learning and Search with Amortized Value Estimates[1912.02803v1] Neural Tangents: Fast and Easy Infinite Neural Networks in Python[1912.02803] Neural Tangents: Fast and Easy Infinite Neural Networks in Python[1912.02801v2] PolyTransform: Deep Polygon Transformer for Instance Segmentation[1912.02781v1] AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty[1912.02762v1] Normalizing Flows for Probabilistic Modeling and Inference[1912.02762] Normalizing Flows for Probabilistic Modeling and Inference[1912.02757v1] Deep Ensembles: A Loss Landscape Perspective[1912.02523] Towards Explainable Deep Neural Networks (xDNN)[1912.02323v1] 15 Keypoints Is All You Need[1912.02318] Improving Policies via Search in Cooperative Partially Observable Games[1912.02314v1] Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization[1912.02292] Deep Double Descent: Where Bigger Models and More Data Hurt[1912.02178] Fantastic Generalization Measures and Where to Find Them[1912.02175] Differentiation of Blackbox Combinatorial Solvers[1912.02164v2] Plug and Play Language Models: A Simple Approach to Controlled Text Generation[1912.01991] Self-Supervised Learning of Pretext-Invariant Representations[1912.01703v1] PyTorch: An Imperative Style, High-Performance Deep Learning Library[1912.01703] PyTorch: An Imperative Style, High-Performance Deep Learning Library[1912.01603] Dream to Control: Learning Behaviors by Latent Imagination[1912.01412v1] Deep Learning for Symbolic Mathematics[1912.01412] Deep Learning for Symbolic Mathematics[1912.01219v2] WaveFlow: A Compact Flow-based Model for Raw Audio[1912.01218] Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard[1912.00953] LOGAN: Latent Optimisation for Generative Adversarial Networks[1912.00527v1] Detecting GAN generated errors[1912.00144] Learning Rate Dropout[1911.13300v1] Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning[1911.13299v1] What's Hidden in a Randomly Weighted Neural Network?[1911.13299] What's Hidden in a Randomly Weighted Neural Network?[1911.13288v1] Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019[1911.13288] Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019[1911.13282v1] Quantum Computation with Machine-Learning-Controlled Quantum Stuff[1911.13270v1] Transflow Learning: Repurposing Flow Models Without Retraining[1911.12986v1] Merging Weak and Active Supervision for Semantic Parsing[1911.12893] GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors[1911.12861v1] SEAN: Image Synthesis with Semantic Region-Adaptive Normalization[1911.12391] SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modeling[1911.12360v1] How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?[1911.12291v1] Fully Unsupervised Probabilistic Noise2Void[1911.12287v1] Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models[1911.12247] Contrastive Learning of Structured World Models[1911.11893v1] Visual Physics: Discovering Physical Laws from Videos[1911.11819v1] Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines[1911.11763v1] SuperGlue: Learning Feature Matching with Graph Neural Networks[1911.11758] MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation[1911.11726v1] Network Embedding: An Overview[1911.11680v1] FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization[1911.11423v1] Single Headed Attention RNN: Stop Thinking With Your Head[1911.11423] Single Headed Attention RNN: Stop Thinking With Your Head[1911.11134v1] Rigging the Lottery: Making All Tickets Winners[1911.11134] Rigging the Lottery: Making All Tickets Winners[1911.11132v1] A Benchmark for Anomaly Segmentation[1911.10500v1] Causality for Machine Learning[1911.10395v1] Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment[1911.10317v1] PlantDoc: A Dataset for Visual Plant Disease Detection[1911.09737v1] Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks[1911.09737] Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks[1911.09723v1] Fast Sparse ConvNets[1911.09723] Fast Sparse ConvNets[1911.09709v1] Automatically Neutralizing Subjective Bias in Text[1911.09665v1] Adversarial Examples Improve Image Recognition[1911.09464v1] Quantization Networks[1911.09451] Deep neuroethology of a virtual rodent[1911.09421] The Linear Algebra Mapping Problem[1911.09299] Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset[1911.09199v1] Object-Guided Instance Segmentation for Biological Images[1911.09194v1] Generating Interactive Worlds with Text[1911.09070v1] EfficientDet: Scalable and Efficient Object Detection[1911.09070] EfficientDet: Scalable and Efficient Object Detection[1911.08609v1] Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition[1911.08459v1] Deep Unsupervised Clustering with Clustered Generator Model[1911.08432v1] Defective Convolutional Layers Learn Robust CNNs[1911.08354v2] Energy Usage Reports: Environmental awareness as part of algorithmic accountability[1911.08265v1] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model[1911.08265] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model[1911.07681v1] GLMNet: Graph Learning-Matching Networks for Feature Matching[1911.07681] GLMNet: Graph Learning-Matching Networks for Feature Matching[1911.07602v1] The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections[1911.06987v1] Faster AutoAugment: Learning Augmentation Strategies using Backpropagation[1911.06786v1] Stagewise Knowledge Distillation[1911.06515v1] Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice[1911.06407v1] Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach[1911.06319v1] The Canonical Distortion Measure for Vector Quantization and Function Approximation[1911.06311v1] Sato: Contextual Semantic Type Detection in Tables[1911.06276v1] LGN-CNN: a biologically inspired CNN architecture[1911.06171v1] Unsupervised Pre-training for Natural Language Generation: A Literature Review[1911.06091v1] EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors[1911.05990v1] Attention on Abstract Visual Reasoning[1911.05954v1] Hierarchical Graph Pooling with Structure Learning[1911.05932v1] GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs[1911.05913v1] RWF-2000: An Open Large Scale Video Database for Violence Detection[1911.05904v1] There is Limited Correlation between Coverage and Robustness for Deep Neural Networks[1911.05892] Reinforcement Learning for Market Making in a Multi-agent Dealer Market[1911.05856v1] SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator[1911.05781v1] Learning internal representations[1911.05771v1] Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things[1911.05722v2] Momentum Contrast for Unsupervised Visual Representation Learning[1911.05722] Momentum Contrast for Unsupervised Visual Representation Learning[1911.05289v1] The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design[1911.05289] The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design[1911.05268v2] Adversarial Examples in Modern Machine Learning: A Review[1911.05193] Optical Proof of Work[1911.05072v1] Learning From Brains How to Regularize Machines[1911.05063v1] Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research[1911.04890v1] Recurrent Neural Network Transducer for Audio-Visual Speech Recognition[1911.04738v1] SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery[1911.04523v1] A Simple Differentiable Programming Language[1911.04448v1] Real-Time Reinforcement Learning[1911.04252v1] Self-training with Noisy Student improves ImageNet classification[1911.04252] Self-training with Noisy Student improves ImageNet classification[1911.03688] ConveRT: Efficient and Accurate Conversational Representations from Transformers[1911.03584v1] On the Relationship between Self-Attention and Convolutional Layers[1911.03584] On the Relationship between Self-Attention and Convolutional Layers[1911.03437v1] SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization[1911.03432v1] Penalty Method for Inversion-Free Deep Bilevel Optimization[1911.03380] An analysis of Uniswap markets[1911.03336v1] Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances[1911.03324v1] Transforming Wikipedia into Augmented Data for Query-Focused Summarization[1911.03167] Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates[1911.02559v1] SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses[1911.02557v1] Feedback-Based Self-Learning in Large-Scale Conversational AI Agents[1911.02549v1] MLPerf Inference Benchmark[1911.02508] How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods[1911.02469v1] Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse[1911.02425v1] weg2vec: Event embedding for temporal networks[1911.02365v1] Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds[1911.02150] Fast Transformer Decoding: One Write-Head is All You Need[1911.02001] Dancing to Music[1911.01914v1] A Comparative Analysis of XGBoost[1911.01655v1] High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks[1911.01600v1] Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition[1911.01562] DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning[1911.01547v2] On the Measure of Intelligence[1911.01547v1] The Measure of Intelligence[1911.01547] The Measure of Intelligence[1911.01382v1] Amortized Population Gibbs Samplers with Neural Sufficient Statistics[1911.01086v1] Evolving Structures in Complex Systems[1911.00792v2] An Algorithm for Routing Capsules in All Domains[1911.00792] An Algorithm for Routing Capsules in All Domains[1911.00536] DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation[1911.00483v1] Explanation by Progressive Exaggeration[1911.00482v1] High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders[1911.00473v1] BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding[1911.00359] CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data[1911.00111v1] Quantum Wasserstein Generative Adversarial Networks[1910.14673v1] Co-Generation with GANs using AIS based HMC[1910.14670v1] Graph Structured Prediction Energy Networks[1910.14667v1] Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors[1910.14667] Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors[1910.14613] Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning[1910.14599v1] Adversarial NLI: A New Benchmark for Natural Language Understanding[1910.14481v1] Continual Unsupervised Representation Learning[1910.14481] Continual Unsupervised Representation Learning[1910.14442v1] Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments[1910.14270] Parameter Sharing Decoder Pair for Auto Composing[1910.13962v1] Understanding the Role of Momentum in Stochastic Gradient Methods[1910.13796v1] Deep Learning vs. Traditional Computer Vision[1910.13681v1] The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN[1910.13616] Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation[1910.13540v1] Small-GAN: Speeding Up GAN Training Using Core-sets Recently Published [2001.04932v1] ImagineNet: Restyling Apps Using Neural Style Transfer[2001.04451v1] Reformer: The Efficient Transformer[2001.04385v1] Universal Differential Equations for Scientific Machine Learning[2001.04230v1] Considering discrepancy when calibrating a mechanistic electrophysiology model[2001.03985v1] Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling[2001.03734v1] A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection[2001.03152v1] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias[2001.03147] Age-Partitioned Bloom Filters[2001.02968v1] How to trap a gradient flow[2001.02921v1] GRIDS: Interactive Layout Design with Integer Programming[2001.02905v1] Fast Adaptation to Super-Resolution Networks via Meta-Learning[2001.02899v1] Self-Supervised Fast Adaptation for Denoising via Meta-Learning[2001.02799v1] Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data[2001.02674v2] Streaming automatic speech recognition with the transformer model[2001.02611] Peer-to-Peer based Social Networks: A Comprehensive Survey[2001.02600] Deep Learning for Free-Hand Sketch: A Survey[2001.02478v1] Questioning the AI: Informing Design Practices for Explainable AI User Experiences[2001.02394v1] Convolutional Networks with Dense Connectivity[2001.02366v1] What can robotics research learn from computer vision research?[2001.01894v1] Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method[2001.01683] Improving Deep Neuroevolution via Deep Innovation Protection[2001.01678v1] How neural networks find generalizable solutions: Self-tuned annealing in deep learning[2001.01613v1] Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations[2001.01582v1] A Survey on Machine Reading Comprehension Systems[2001.01284v1] Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks[2001.01026v1] Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings[2001.00986v1] Inverse Rendering Techniques for Physically Grounded Image Editing[2001.00921v1] Wide Neural Networks with Bottlenecks are Deep Gaussian Processes[2001.00526v1] Lightweight Residual Densely Connected Convolutional Neural Network[2001.00426v1] Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications[2001.00179v1] DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection[2001.00101] Musings on the Current Status of HEP[2001.00030v1] Quantum Adversarial Machine Learning[1912.13503v1] Side-Tuning: Network Adaptation via Additive Side Networks[1912.13480v1] On the Difference Between the Information Bottleneck and the Deep Information Bottleneck[1912.13464v1] Model Inversion Networks for Model-Based Optimization[1912.13457v1] FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping[1912.13457] FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping[1912.13283v1] oLMpics -- On what Language Model Pre-training Captures[1912.13262] Fungal architecture[1912.13213] A Modern Introduction to Online Learning[1912.13209] Accrete, Accrete, Accrete... Bang! (and repeat): The Remarkable Recurrent Novae[1912.13200v2] AdderNet: Do We Really Need Multiplications in Deep Learning?[1912.13025] Semi-Supervised Learning with Normalizing Flows[1912.12693v1] A Gentle Introduction to Deep Learning for Graphs[1912.12522] NAS evaluation is frustratingly hard[1912.12294v1] Learning by Cheating[1912.12294] Learning by Cheating[1912.12290v1] Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization[1912.12180] Axial Attention in Multidimensional Transformers[1912.12033v1] Deep Learning for 3D Point Clouds: A Survey[1912.11975v1] Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation[1912.11959v2] Is Attention All What You Need? -- An Empirical Investigation on Convolution-Based Active Memory and Self-Attention[1912.11959v1] IS Attention All What You Need? -- An Empirical Investigation on Convolution-Based Active Memory and Self-Attention[1912.11853v1] Domain Adaptation Regularization for Spectral Pruning[1912.11570] SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks[1912.11474v1] Audio-Visual Embodied Navigation[1912.11473v1] Dense RepPoints: Representing Visual Objects with Dense Point Sets[1912.11464v1] Attack-Resistant Federated Learning with Residual-based Reweighting[1912.11460v2] Characterizing the Decision Boundary of Deep Neural Networks[1912.11430v1] TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network[1912.11370v1] Large Scale Learning of General Visual Representations for Transfer[1912.11333] Audio-based automatic mating success prediction of giant pandas[1912.11270v1] FALCON 2.0: An Entity and Relation Linking framework over Wikidata[1912.11211] Algorithmic Extremism: Examining YouTube's Rabbit Hole of Radicalization[1912.11176v1] Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport[1912.11121v1] Learning to Navigate Using Mid-Level Visual Priors[1912.11035v1] CNN-generated images are surprisingly easy to spot... for now[1912.11029v1] Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines[1912.11027v2] Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach[1912.11027] Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach[1912.10985] BackPACK: Packing more into backprop[1912.10917v1] FasterSeg: Searching for Faster Real-time Semantic Segmentation[1912.10824v1] Differentiable Reasoning on Large Knowledge Bases and Natural Language[1912.10292v1] Deep Audio Prior[1912.10154v1] Measuring Dataset Granularity[1912.10128v1] Learning Singing From Speech[1912.10013v1] secml: A Python Library for Secure and Explainable Machine Learning[1912.09729v1] Mastering Complex Control in MOBA Games with Deep Reinforcement Learning[1912.09529v1] Learning Convex Optimization Control Policies[1912.09393v1] Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks[1912.09322v1] PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI[1912.09257v1] Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems[1912.09253v1] Towards a Philological Metric through a Topological Data Analysis Approach[1912.08904v1] Macaw: An Extensible Conversational Information Seeking Platform[1912.08866] Continuous Meta-Learning without Tasks[1912.08830v1] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language[1912.08812v1] Research Frontiers in Transfer Learning -- a systematic and bibliometric review[1912.08809v1] Field Label Prediction for Autofill in Web Browsers[1912.08804v1] SynSin: End-to-end View Synthesis from a Single Image[1912.08795v1] Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion[1912.08766v1] RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms[1912.08193] PointRend: Image Segmentation as Rendering[1912.07938v1] How Personal is Machine Learning Personalization?[1912.07768v1] Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data[1912.07768] Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data[1912.07589v1] Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level[1912.07589] Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level[1912.07559v1] A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern[1912.07242v1] More Data Can Hurt for Linear Regression: Sample-wise Double Descent[1912.07109v1] SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization[1912.06874] The Liar's Walk: Detecting Deception with Gait and Gesture[1912.06670v1] Common Voice: A Massively-Multilingual Speech Corpus[1912.06404v1] Real-time texturing for 6D object instance detection from RGB Images[1912.06395v1] Neural Cages for Detail-Preserving 3D Deformations[1912.06126v1] Deep Structured Implicit Functions[1912.06112v1] Unified Generative Adversarial Networks for Controllable Image-to-Image Translation[1912.06101v1] The PlayStation Reinforcement Learning Environment (PSXLE)[1912.06088v2] Learning To Reach Goals Without Reinforcement Learning[1912.05877] Extending Machine Language Models toward Human-Level Language Understanding[1912.05684v1] Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments[1912.05656v1] VIBE: Video Inference for Human Body Pose and Shape Estimation[1912.05652] Learning Human Objectives by Evaluating Hypothetical Behavior[1912.05651v1] Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection[1912.05566v1] Neural Voice Puppetry: Audio-driven Facial Reenactment[1912.05537v1] Encoding Musical Style with Transformer Autoencoders[1912.05534v1] Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition[1912.05523v1] $\mathbf{G^{3}AN}$: This video does not exist. Disentangling motion and appearance for video generation[1912.05372v2] FlauBERT: Unsupervised Language Model Pre-training for French[1912.05074v1] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation[1912.05032v1] Imitation Learning via Off-Policy Distribution Matching[1912.05013v2] Line-based Camera Pose Estimation in Point Cloud of Structured Environments[1912.04977v1] Advances and Open Problems in Federated Learning[1912.04259v2] An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks[1912.04217] Shared Visual Abstractions[1912.04158v1] Learning a Neural 3D Texture Space from 2D Exemplars[1912.04075v1] Temporal Factorization of 3D Convolutional Kernels[1912.03817v1] Machine Unlearning[1912.03629v1] VoronoiNet: General Functional Approximators with Local Support[1912.03426v1] Self-Supervised 3D Keypoint Learning for Ego-motion Estimation[1912.03295v1] Tools for Mathematical Ludology[1912.03263v1] Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One[1912.03263] Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One[1912.03249v1] Gaussian Process Priors for View-Aware Inference[1912.03192] Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations[1912.02923v1] Generating 3D People in Scenes without People[1912.02877v1] Training Agents using Upside-Down Reinforcement Learning[1912.02877] Training Agents using Upside-Down Reinforcement Learning[1912.02875] Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions[1912.02807] Combining Q-Learning and Search with Amortized Value Estimates[1912.02803v1] Neural Tangents: Fast and Easy Infinite Neural Networks in Python[1912.02803] Neural Tangents: Fast and Easy Infinite Neural Networks in Python[1912.02801v2] PolyTransform: Deep Polygon Transformer for Instance Segmentation[1912.02781v1] AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty[1912.02762v1] Normalizing Flows for Probabilistic Modeling and Inference[1912.02762] Normalizing Flows for Probabilistic Modeling and Inference[1912.02757v1] Deep Ensembles: A Loss Landscape Perspective[1912.02523] Towards Explainable Deep Neural Networks (xDNN)[1912.02323v1] 15 Keypoints Is All You Need[1912.02318] Improving Policies via Search in Cooperative Partially Observable Games[1912.02314v1] Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization[1912.02292] Deep Double Descent: Where Bigger Models and More Data Hurt[1912.02178] Fantastic Generalization Measures and Where to Find Them[1912.02175] Differentiation of Blackbox Combinatorial Solvers[1912.02164v2] Plug and Play Language Models: A Simple Approach to Controlled Text Generation[1912.01991] Self-Supervised Learning of Pretext-Invariant Representations[1912.01703v1] PyTorch: An Imperative Style, High-Performance Deep Learning Library[1912.01703] PyTorch: An Imperative Style, High-Performance Deep Learning Library[1912.01603] Dream to Control: Learning Behaviors by Latent Imagination[1912.01412v1] Deep Learning for Symbolic Mathematics[1912.01412] Deep Learning for Symbolic Mathematics[1912.01219v2] WaveFlow: A Compact Flow-based Model for Raw Audio[1912.01218] Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard[1912.00953] LOGAN: Latent Optimisation for Generative Adversarial Networks[1912.00527v1] Detecting GAN generated errors[1912.00144] Learning Rate Dropout[1911.13300v1] Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning[1911.13299v1] What's Hidden in a Randomly Weighted Neural Network?[1911.13299] What's Hidden in a Randomly Weighted Neural Network?[1911.13288v1] Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019[1911.13288] Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019[1911.13282v1] Quantum Computation with Machine-Learning-Controlled Quantum Stuff[1911.13270v1] Transflow Learning: Repurposing Flow Models Without Retraining[1911.12986v1] Merging Weak and Active Supervision for Semantic Parsing[1911.12893] GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors[1911.12861v1] SEAN: Image Synthesis with Semantic Region-Adaptive Normalization[1911.12391] SimpleBooks: Long-term dependency book dataset with simplified English vocabulary for word-level language modeling[1911.12360v1] How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?[1911.12291v1] Fully Unsupervised Probabilistic Noise2Void[1911.12287v1] Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models[1911.12247] Contrastive Learning of Structured World Models[1911.11893v1] Visual Physics: Discovering Physical Laws from Videos[1911.11819v1] Cryptocurrency Price Prediction and Trading Strategies Using Support Vector Machines[1911.11763v1] SuperGlue: Learning Feature Matching with Graph Neural Networks[1911.11758] MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation[1911.11726v1] Network Embedding: An Overview[1911.11680v1] FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization[1911.11423v1] Single Headed Attention RNN: Stop Thinking With Your Head[1911.11423] Single Headed Attention RNN: Stop Thinking With Your Head[1911.11134v1] Rigging the Lottery: Making All Tickets Winners[1911.11134] Rigging the Lottery: Making All Tickets Winners[1911.11132v1] A Benchmark for Anomaly Segmentation[1911.10500v1] Causality for Machine Learning[1911.10395v1] Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment[1911.10317v1] PlantDoc: A Dataset for Visual Plant Disease Detection[1911.09737v1] Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks[1911.09737] Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks[1911.09723v1] Fast Sparse ConvNets[1911.09723] Fast Sparse ConvNets[1911.09709v1] Automatically Neutralizing Subjective Bias in Text[1911.09665v1] Adversarial Examples Improve Image Recognition[1911.09464v1] Quantization Networks[1911.09451] Deep neuroethology of a virtual rodent[1911.09421] The Linear Algebra Mapping Problem[1911.09299] Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset[1911.09199v1] Object-Guided Instance Segmentation for Biological Images[1911.09194v1] Generating Interactive Worlds with Text[1911.09070v1] EfficientDet: Scalable and Efficient Object Detection[1911.09070] EfficientDet: Scalable and Efficient Object Detection[1911.08609v1] Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition[1911.08459v1] Deep Unsupervised Clustering with Clustered Generator Model[1911.08432v1] Defective Convolutional Layers Learn Robust CNNs[1911.08354v2] Energy Usage Reports: Environmental awareness as part of algorithmic accountability[1911.08265v1] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model[1911.08265] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model[1911.07681v1] GLMNet: Graph Learning-Matching Networks for Feature Matching[1911.07681] GLMNet: Graph Learning-Matching Networks for Feature Matching[1911.07602v1] The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections[1911.06987v1] Faster AutoAugment: Learning Augmentation Strategies using Backpropagation[1911.06786v1] Stagewise Knowledge Distillation[1911.06515v1] Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice[1911.06407v1] Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach[1911.06319v1] The Canonical Distortion Measure for Vector Quantization and Function Approximation[1911.06311v1] Sato: Contextual Semantic Type Detection in Tables[1911.06276v1] LGN-CNN: a biologically inspired CNN architecture[1911.06171v1] Unsupervised Pre-training for Natural Language Generation: A Literature Review[1911.06091v1] EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors[1911.05990v1] Attention on Abstract Visual Reasoning[1911.05954v1] Hierarchical Graph Pooling with Structure Learning[1911.05932v1] GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs[1911.05913v1] RWF-2000: An Open Large Scale Video Database for Violence Detection[1911.05904v1] There is Limited Correlation between Coverage and Robustness for Deep Neural Networks[1911.05892] Reinforcement Learning for Market Making in a Multi-agent Dealer Market[1911.05856v1] SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator[1911.05781v1] Learning internal representations[1911.05771v1] Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things[1911.05722v2] Momentum Contrast for Unsupervised Visual Representation Learning[1911.05722] Momentum Contrast for Unsupervised Visual Representation Learning[1911.05289v1] The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design[1911.05289] The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design[1911.05268v2] Adversarial Examples in Modern Machine Learning: A Review[1911.05193] Optical Proof of Work[1911.05072v1] Learning From Brains How to Regularize Machines[1911.05063v1] Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research[1911.04890v1] Recurrent Neural Network Transducer for Audio-Visual Speech Recognition[1911.04738v1] SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery[1911.04523v1] A Simple Differentiable Programming Language[1911.04448v1] Real-Time Reinforcement Learning[1911.04252v1] Self-training with Noisy Student improves ImageNet classification[1911.04252] Self-training with Noisy Student improves ImageNet classification[1911.03688] ConveRT: Efficient and Accurate Conversational Representations from Transformers[1911.03584v1] On the Relationship between Self-Attention and Convolutional Layers[1911.03584] On the Relationship between Self-Attention and Convolutional Layers[1911.03437v1] SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization[1911.03432v1] Penalty Method for Inversion-Free Deep Bilevel Optimization[1911.03380] An analysis of Uniswap markets[1911.03336v1] Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances[1911.03324v1] Transforming Wikipedia into Augmented Data for Query-Focused Summarization[1911.03167] Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates[1911.02559v1] SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses[1911.02557v1] Feedback-Based Self-Learning in Large-Scale Conversational AI Agents[1911.02549v1] MLPerf Inference Benchmark[1911.02508] How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods[1911.02469v1] Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse[1911.02425v1] weg2vec: Event embedding for temporal networks[1911.02365v1] Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds[1911.02150] Fast Transformer Decoding: One Write-Head is All You Need[1911.02001] Dancing to Music[1911.01914v1] A Comparative Analysis of XGBoost[1911.01655v1] High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks[1911.01600v1] Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition[1911.01562] DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning[1911.01547v2] On the Measure of Intelligence[1911.01547v1] The Measure of Intelligence[1911.01547] The Measure of Intelligence[1911.01382v1] Amortized Population Gibbs Samplers with Neural Sufficient Statistics[1911.01086v1] Evolving Structures in Complex Systems[1911.00792v2] An Algorithm for Routing Capsules in All Domains[1911.00792] An Algorithm for Routing Capsules in All Domains[1911.00536] DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation[1911.00483v1] Explanation by Progressive Exaggeration[1911.00482v1] High-dimensional Nonlinear Profile Monitoring based on Deep Probabilistic Autoencoders[1911.00473v1] BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding[1911.00359] CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data[1911.00111v1] Quantum Wasserstein Generative Adversarial Networks[1910.14673v1] Co-Generation with GANs using AIS based HMC[1910.14670v1] Graph Structured Prediction Energy Networks[1910.14667v1] Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors[1910.14667] Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors[1910.14613] Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning[1910.14599v1] Adversarial NLI: A New Benchmark for Natural Language Understanding[1910.14481v1] Continual Unsupervised Representation Learning[1910.14481] Continual Unsupervised Representation Learning[1910.14442v1] Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments[1910.14270] Parameter Sharing Decoder Pair for Auto Composing[1910.13962v1] Understanding the Role of Momentum in Stochastic Gradient Methods[1910.13796v1] Deep Learning vs. Traditional Computer Vision[1910.13681v1] The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN[1910.13616] Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation[1910.13540v1] Small-GAN: Speeding Up GAN Training Using Core-sets