Deep Relational Factorization Machines. Antifragile and Robust Heteroscedastic Bayesian Optimisation. Meta-Learning without Memorization. Truth or backpropaganda? An empirical investigation of deep learning theory. Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. Inductive Matri …

Meta-Learning Initializations for Image Segmentation. Measuring the Reliability of Reinforcement Learning Algorithms. How many weights are enough : can tensor factorization learn efficient policies ?. Regularization Matters in Policy Optimization. Deceptive Opponent Modeling with Proactive Network Interdiction for Stochastic Goal Recognition Contro …

On Need for Topology-Aware Generative Models for Manifold-Based Defenses. Deep k-NN for Noisy Labels. Visual Interpretability Alone Helps Adversarial Robustness. Learning to Rank Learning Curves. Towards Controllable and Interpretable Face Completion via Structure-Aware and Frequency-Oriented Attentive GANs. An Empirical and Comparative Analysis of …

SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning. Transferable Perturbations of Deep Feature Distributions. Mutual Information Maximization for Robust Plannable Representations. Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. Non-Sequential Melody Generation. Smart Ternary Quantizatio …

PNAT: Non-autoregressive Transformer by Position Learning. Diagnosing the Environment Bias in Vision-and-Language Navigation. Differentially Private Meta-Learning. Learning Underlying Physical Properties From Observations For Trajectory Prediction. Universal Approximation with Certified Networks. Neural Policy Gradient Methods: Global Optimality an …

Multi-Precision Policy Enforced Training (MuPPET) : A precision-switching strategy for quantised fixed-point training of CNNs. Feature-map-level Online Adversarial Knowledge Distillation. UNPAIRED POINT CLOUD COMPLETION ON REAL SCANS USING ADVERSARIAL TRAINING. A Probabilistic Formulation of Unsupervised Text Style Transfer. Neural Network Branchin …

Fantastic Generalization Measures and Where to Find Them. Convergence Behaviour of Some Gradient-Based Methods on Bilinear Zero-Sum Games. Dynamic Model Pruning with Feedback. Structured Object-Aware Physics Prediction for Video Modeling and Planning. Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. Implementing Inductive bias …

Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Learning Cross-modal Context Graph for Visual Grounding. Differentially Private Mixed-Type Data Generation For Unsupervised Learning. HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion. Cost-Effective Testing of a Deep Learning Model through Input Reduction. Learnin …

Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations. NAS evaluation is frustratingly hard. Discourse-Based Evaluation of Language Understanding. Meta-learning curiosity algorithms. Black-box Adversarial Attacks with Bayesian Optimization. Neural Tangents: Fast and Easy Infinite Neural Networks in …

Why ADAM Beats SGD for Attention Models. Hindsight Trust Region Policy Optimization. Decentralized Distributed PPO: Mastering PointGoal Navigation. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. Bootstrapping the Expressivity with Model-based Planning. Automated Relational Meta-learning. Empirical Bayes Transductive Meta-Learn …

Encoder-Agnostic Adaptation for Conditional Language Generation. LEARNED STEP SIZE QUANTIZATION. Deep Graph Translation. RPGAN: random paths as a latent space for GAN interpretability. Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. Composition-based Multi-Relational Graph Convolutional Networks. Argus: Efficient …