Diving into Optimization of Topology in Neural Networks. Stabilizing Transformers for Reinforcement Learning. Aggregating explanation methods for neural networks stabilizes explanations. Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems. Attributed Graph Learning with 2-D Graph Convolution. Chordal-GC …

RefNet: Automatic Essay Scoring by Pairwise Comparison. Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks. Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. QXplore: Q-Learning Exploration …

LAVAE: Disentangling Location and Appearance. Proactive Sequence Generator via Knowledge Acquisition. Provable Representation Learning for Imitation Learning via Bi-level Optimization. A Perturbation Analysis of Input Transformations for Adversarial Attacks. Robustified Importance Sampling for Covariate Shift. Learning Space Partitions for Nearest …

Improving Evolutionary Strategies with Generative Neural Networks. Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. Disagreement-Regularized Imitation Learning. Learning Generative Image Object Manipulations from Language Instructions. Power up! Robust Graph Convolutional Network based on Graph Powering. Compressive …

FR-GAN: Fair and Robust Training. Learning Video Representations using Contrastive Bidirectional Transformer. Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models. Certified Robustness to Adversarial Label-Flipping Attacks via Randomized Smoothing. Exploration via Flow-Based Intrinsic Rewards. Robust Domain R …

Novelty Search in representational space for sample efficient exploration. Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. EXACT ANALYSIS OF CURVATURE CORRECTED LEARNING DYNAMICS IN DEEP LINEAR NETWORKS. Equilibrium Propagation with Continual Weight Updates. Mincut Pooling in Graph Neural Networks. Never Give Up: Learning Dir …

Measure by Measure: Automatic Music Composition with Traditional Western Music Notation. Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training. PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics. Global R …

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently. Neural Outlier Rejection for Self-Supervised Keypoint Learning. Deep Hierarchical-Hyperspherical Learning (DH^2L). Physics-Aware Flow Data Completion Using Neural Inpa …

Learning to Reach Goals Without Reinforcement Learning. HOW IMPORTANT ARE NETWORK WEIGHTS? TO WHAT EXTENT DO THEY NEED AN UPDATE?. Universal Adversarial Attack Using Very Few Test Examples. THE EFFECT OF ADVERSARIAL TRAINING: A THEORETICAL CHARACTERIZATION. Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. Unre …

The function of contextual illusions. PDP: A General Neural Framework for Learning SAT Solvers. Project and Forget: Solving Large Scale Metric Constrained Problems. Visual Explanation for Deep Metric Learning. The Frechet Distance of training and test distribution predicts the generalization gap. End to End Trainable Active Contours via Differentia …

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 …

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 …

Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth. Combining Q-Learning and Search with Amortized Value Estimates. Improved memory in recurrent neural networks with sequential non-normal dynamics. Differentiable Reasoning over a Virtual Knowledge Base. Hamiltonian Generative Networks. GenDICE: Generalized Offli …

GPU Memory Management for Deep Neural Networks Using Deep Q-Network. On the “steerability” of generative adversarial networks. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. Adversarial Robustness Against the Union of Multiple Perturbation Models. Quantifying Point-Prediction Uncertainty in Neural Networks via Residua …

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 …