Optimization & Theory

WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning CVPR 2020 Weight Poisoning Attacks on Pretrained Models ACL 2020 WER we are and WER we think we are EMNLP 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020 What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding EMNLP 2020 What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020 What if Neural Networks had SVDs? NeurIPS 2020 What's Hidden in a Randomly Weighted Neural Network? CVPR 2020 When BERT Plays the Lottery, All Tickets Are Winning EMNLP 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 Wide Hidden Expansion Layer for Deep Convolutional Neural Networks WACV 2020 Winning the Lottery with Continuous Sparsification NeurIPS 2020 Winnowing with Gradient Descent COLT 2020 word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement ICLR 2020 X3D: Expanding Architectures for Efficient Video Recognition CVPR 2020 X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network Interspeech 2020 XtremeDistil: Multi-stage Distillation for Massive Multilingual Models ACL 2020 ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020 ABC: A Big CAD Model Dataset for Geometric Deep Learning CVPR 2019 A Benchmark for Interpretability Methods in Deep Neural Networks NeurIPS 2019 Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video CVPR 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019 Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019 A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019