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Neural Network Optimization

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Papers

Going Deeper With Lean Point Networks CVPR 2020
Controllable Orthogonalization in Training DNNs CVPR 2020
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising INTERSPEECH 2020
Designing Network Design Spaces CVPR 2020
TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog EMNLP 2020
CSER: Communication-efficient SGD with Error Reset NIPS 2020
Gradient descent follows the regularization path for general losses COLT 2020
Orthogonal Convolutional Neural Networks CVPR 2020
TKD: Temporal Knowledge Distillation for Active Perception WACV 2020
Inference Strategies for Machine Translation with Conditional Masking EMNLP 2020
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation IJCAI 2020
A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function NIPS 2020
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization ACML 2020
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching AAAI 2020
A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020
Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks CVPR 2020
iCompass at SemEval-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model COLING 2020
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020
Finding trainable sparse networks through Neural Tangent Transfer ICML 2020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework CVPR 2020