Techniques

Syntactically Look-Ahead Attention Network for Sentence Compression AAAI 2020 Tangent Images for Mitigating Spherical Distortion CVPR 2020 TaPas: Weakly Supervised Table Parsing via Pre-training ACL 2020 TapNet: Multivariate Time Series Classification with Attentional Prototypical Network AAAI 2020 TaskNorm: Rethinking Batch Normalization for Meta-Learning ICML 2020 Task-Oriented Feature Distillation NeurIPS 2020 T-Basis: a Compact Representation for Neural Networks ICML 2020 Team_Swift at SemEval-2020 Task 9: Tiny Data Specialists through Domain-Specific Pre-training on Code-Mixed Data SemEval 2020 TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising EMNLP 2020 Temporal Aggregation with Clip-level Attention for Video-based Person Re-identification WACV 2020 Temporal Pyramid Network for Action Recognition CVPR 2020 Tensorized Embedding Layers EMNLP 2020 Tensor Regression Networks JMLR 2020 TESA: Tensor Element Self-Attention via Matricization CVPR 2020 Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting AAAI 2020 Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition CVPR 2020 The birth of Romanian BERT EMNLP 2020 The Break-Even Point on Optimization Trajectories of Deep Neural Networks ICLR 2020 The Early Phase of Neural Network Training ICLR 2020 The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? EMNLP 2020 The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020 The Implicit and Explicit Regularization Effects of Dropout ICML 2020 The intriguing role of module criticality in the generalization of deep networks ICLR 2020 Theory-Inspired Path-Regularized Differential Network Architecture Search NeurIPS 2020 There and Back Again: Revisiting Backpropagation Saliency Methods CVPR 2020