Deep Learning

Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning CoRL 2020 Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks WACV 2020 Action Modifiers: Learning From Adverbs in Instructional Videos CVPR 2020 Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract) AAAI 2020 Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation CVPR 2020 Action Segmentation with Mixed Temporal Domain Adaptation WACV 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Active Adversarial Domain Adaptation WACV 2020 Active Imitation Learning with Noisy Guidance ACL 2020 Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020 Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation ICML 2020 Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020 ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020 Active Vision for Early Recognition of Human Actions CVPR 2020 Actor Conditioned Attention Maps for Video Action Detection WACV 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems EMNLP 2020 Actor-Transformers for Group Activity Recognition CVPR 2020 AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020 Adabot: Fault-Tolerant Java Decompiler (Student Abstract) AAAI 2020 AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss CVPR 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 Adam with Bandit Sampling for Deep Learning NeurIPS 2020 ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization COLING 2020 AdapterHub: A Framework for Adapting Transformers EMNLP 2020