Deep Learning

On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020 On the Need for Topology-Aware Generative Models for Manifold-Based Defenses ICLR 2020 On the Number of Linear Regions of Convolutional Neural Networks ICML 2020 On the Optimal Weighted ℓ_2 Regularization in Overparameterized Linear Regression NeurIPS 2020 On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries EMNLP 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages COLING 2020 On the Regularization Properties of Structured Dropout CVPR 2020 On the Relationship between Self-Attention and Convolutional Layers ICLR 2020 On the Robustness and Training Dynamics of Raw Waveform Models Interspeech 2020 On the Robustness of Language Encoders against Grammatical Errors ACL 2020 On the role of effective and referring questions in GuessWhat?! ACL 2020 On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation Evaluation EMNLP 2020 On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020 On the Sparsity of Neural Machine Translation Models EMNLP 2020 On the Spontaneous Emergence of Discrete and Compositional Signals ACL 2020 On the "steerability" of generative adversarial networks ICLR 2020 On the Sub-layer Functionalities of Transformer Decoder EMNLP 2020 On the Trade-off between Adversarial and Backdoor Robustness NeurIPS 2020 On the training dynamics of deep networks with L_2 regularization NeurIPS 2020 On the Uncertainty of Self-Supervised Monocular Depth Estimation CVPR 2020 On the universality of deep learning NeurIPS 2020 On the Usage of Multi-Feature Integration for Speaker Verification and Language Identification Interspeech 2020 On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020 On the weak link between importance and prunability of attention heads EMNLP 2020