Application Areas

Regret Minimization for Causal Inference on Large Treatment Space AISTATS 2021 Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021 Regularization Strategy for Point Cloud via Rigidly Mixed Sample CVPR 2021 Regularized Online Allocation Problems: Fairness and Beyond ICML 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021 Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021 Regularizing Word Segmentation by Creating Misspellings Interspeech 2021 Regulating algorithmic filtering on social media NeurIPS 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021 Reinforcement Learning-based Product Delivery Frequency Control AAAI 2021 Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards ACL 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021 Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels CVPR 2021 Relational Data Selection for Data Augmentation of Speaker-Dependent Multi-Band MelGAN Vocoder Interspeech 2021 Relaxed Marginal Consistency for Differentially Private Query Answering NeurIPS 2021 Relaxing Local Robustness NeurIPS 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection NeurIPS 2021 Reliable Decisions with Threshold Calibration NeurIPS 2021 Remember What You Want to Forget: Algorithms for Machine Unlearning NeurIPS 2021 ReMix: Towards Image-to-Image Translation With Limited Data CVPR 2021