Deep Learning

Online Knowledge Distillation with Diverse Peers AAAI 2020 Online Lens Motion Smoothing for Video Autofocus WACV 2020 Online Monaural Speech Enhancement Using Delayed Subband LSTM Interspeech 2020 Online Planner Selection with Graph Neural Networks and Adaptive Scheduling AAAI 2020 On Losses for Modern Language Models EMNLP 2020 On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems Interspeech 2020 On Mutual Information Maximization for Representation Learning ICLR 2020 On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment EMNLP 2020 On Positive-Unlabeled Classification in GAN CVPR 2020 On Power Laws in Deep Ensembles NeurIPS 2020 On Relativistic f-Divergences ICML 2020 On Robustness of Neural Ordinary Differential Equations ICLR 2020 On Romanization for Model Transfer Between Scripts in Neural Machine Translation EMNLP 2020 On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach ICLR 2020 On Synthesis for Supervised Monaural Speech Separation in Time Domain Interspeech 2020 On Task-Level Dialogue Composition of Generative Transformer Model EMNLP 2020 On the Ability and Limitations of Transformers to Recognize Formal Languages EMNLP 2020 On the Acceleration of Deep Learning Model Parallelism With Staleness CVPR 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 On the Branching Bias of Syntax Extracted from Pre-trained Language Models EMNLP 2020 On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition Interspeech 2020 On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling EMNLP 2020 On the Convergence of FedAvg on Non-IID Data ICLR 2020 On the Convergence of SARAH and Beyond AISTATS 2020 On the Cross-lingual Transferability of Monolingual Representations ACL 2020