Application Areas

WeDef: Weakly Supervised Backdoor Defense for Text Classification EMNLP 2022 Weighted Distillation with Unlabeled Examples NeurIPS 2022 Weighted Mutual Learning with Diversity-Driven Model Compression NeurIPS 2022 Weight Perturbation as Defense against Adversarial Word Substitutions EMNLP 2022 Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender COLING 2022 WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit Interspeech 2022 WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses Interspeech 2022 What can Speech and Language Tell us About the Working Alliance in Psychotherapy Interspeech 2022 What Do Compressed Multilingual Machine Translation Models Forget? EMNLP 2022 What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text ACL 2022 What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge ACL 2022 What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification ACL 2022 What Do You See in this Patient? Behavioral Testing of Clinical NLP Models NAACL 2022 What Drives the Use of Metaphorical Language? Negative Insights from Abstractness, Affect, Discourse Coherence and Contextualized Word Representations NAACL 2022 What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review NAACL 2022 What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation ACL 2022 What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective NeurIPS 2022 What Makes Better Augmentation Strategies? Augment Difficult but Not too Different ICLR 2022 What’s Different between Visual Question Answering for Machine “Understanding” Versus for Accessibility? AACL 2022 What to expect of hardware metric predictors in NAS AutoML 2022 What You See is What You Get: Principled Deep Learning via Distributional Generalization NeurIPS 2022 When and How Mixup Improves Calibration ICML 2022 When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL 2022 When Does Differentially Private Learning Not Suffer in High Dimensions? NeurIPS 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022