A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. Deep 3D Pan via Local adaptive “t-shaped” convolutions with global and local adaptive dilations. SPREAD DIVERGENCE. Simplicial Complex Networks. Identifying through Flows for Recovering Latent Representations. Adaptive network sparsification with dependent variation …

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 …

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 …

Exploring the Pareto-Optimality between Quality and Diversity in Text Generation. The Detection of Distributional Discrepancy for Text Generation. Coresets for Accelerating Incremental Gradient Methods. CONTRIBUTION OF INTERNAL REFLECTION IN LANGUAGE EMERGENCE WITH AN UNDER-RESTRICTED SITUATION. Gradient Perturbation is Underrated for Differentiall …

Three-Head Neural Network Architecture for AlphaZero Learning. Invariance vs Robustness of Neural Networks. Data Augmentation in Training CNNs: Injecting Noise to Images. Decoupling Representation and Classifier for Long-Tailed Recognition. Relevant-features based Auxiliary Cells for Robust and Energy Efficient Deep Learning. Representing Model Unc …

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 …

PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS. Learning transport cost from subset correspondence. On Robustness of Neural Ordinary Differential Equations. Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?. Sign Bits Are All You Need for Black-Box Attacks. Biologically inspired sleep algorithm for inc …

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 …

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 …

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 …