conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes ICML 2023 WeatherStream: Light Transport Automation of Single Image Deweathering CVPR 2023 Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning NeurIPS 2023 Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis EMNLP 2023 Welder: Scheduling Deep Learning Memory Access via Tile-graph OSDI 2023 What Can a Cook in Italy Teach a Mechanic in India? Action Recognition Generalisation Over Scenarios and Locations ICCV 2023 What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks ICCV 2023 What Can We Learn from Unlearnable Datasets? NeurIPS 2023 What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection EACL 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric ACL 2023 What Else Do I Need to Know? The Effect of Background Information on Users’ Reliance on QA Systems EMNLP 2023 What Is Missing in IRM Training and Evaluation? Challenges and Solutions ICLR 2023 What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS 2023 What Makes Good Examples for Visual In-Context Learning? NeurIPS 2023 When and how to paraphrase for named entity recognition? ACL 2023 When and Why Does Bias Mitigation Work? EMNLP 2023 When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset ACL 2023 When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP ACL 2023 When does Privileged information Explain Away Label Noise? ICML 2023 When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023 When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization EACL 2023 When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations MLHC 2023 When Neural Networks Fail to Generalize? A Model Sensitivity Perspective AAAI 2023 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023