Deep Learning

Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Correcting the Misuse: A Method for the Chinese Idiom Cloze Test EMNLP 2020 Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers CVPR 2020 Correlation-Guided Attention for Corner Detection Based Visual Tracking CVPR 2020 Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network MIDL 2020 Correspondence Networks With Adaptive Neighbourhood Consensus CVPR 2020 CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP IJCAI 2020 CoSE: Compositional Stroke Embeddings NeurIPS 2020 Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings Interspeech 2020 COSMIC: COmmonSense knowledge for eMotion Identification in Conversations EMNLP 2020 Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media EMNLP 2020 Cost Volume Pyramid Based Depth Inference for Multi-View Stereo CVPR 2020 COT-GAN: Generating Sequential Data via Causal Optimal Transport NeurIPS 2020 COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment AAAI 2020 Co-Tuning for Transfer Learning NeurIPS 2020 Count-Based Exploration with the Successor Representation AAAI 2020 Counterexample-Guided Learning of Monotonic Neural Networks NeurIPS 2020 Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020 Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020 Counterfactuals uncover the modular structure of deep generative models ICLR 2020 Counterfactual Vision and Language Learning CVPR 2020 Countering Language Drift with Seeded Iterated Learning ICML 2020 Counting Out Time: Class Agnostic Video Repetition Counting in the Wild CVPR 2020 Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations EMNLP 2020 Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020