Optimization & Theory

Benchmarking Deep Learning Interpretability in Time Series Predictions NeurIPS 2020 BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance EMNLP 2020 BERT Loses Patience: Fast and Robust Inference with Early Exit NeurIPS 2020 BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP 2020 Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020 Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector CVPR 2020 BiDet: An Efficient Binarized Object Detector CVPR 2020 BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation CVPR 2020 Bi-level Probabilistic Feature Learning for Deformable Image Registration IJCAI 2020 Binarized Neural Architecture Search AAAI 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020 Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation CVPR 2020 Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020 Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020 Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020 Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems Interspeech 2020 Bundle Adjustment on a Graph Processor CVPR 2020 Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020 Byte Pair Encoding is Suboptimal for Language Model Pretraining EMNLP 2020 Calibrating CNNs for Lifelong Learning NeurIPS 2020 Can gradient clipping mitigate label noise? ICLR 2020 Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NeurIPS 2020