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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6,422

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Papers (including subtopics)

What is the social benefit of hate speech detection research? A Systematic Review EMNLP 2024 What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NeurIPS 2024 What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ICLR 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024 What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024 What makes unlearning hard and what to do about it NeurIPS 2024 What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL 2024 What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance CoNLL 2024 What's In My Big Data? ICLR 2024 What Sketch Explainability Really Means for Downstream Tasks? CVPR 2024 What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions ICML 2024 What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study EMNLP 2024 What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition EACL 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets? CoNLL 2024 When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards ACL 2024 When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models EMNLP 2024 When does perceptual alignment benefit vision representations? NeurIPS 2024 When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks IJCAI 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels NAACL 2024 When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models ICML 2024 When Quantization Affects Confidence of Large Language Models? NAACL 2024 When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024