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

2,498

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6,422

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1,666

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Papers (including subtopics)

Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NeurIPS 2024 The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels NAACL 2024 The PGNSC Benchmark: How Do We Predict Where Information Spreads? ACL 2024 The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs ACL 2024 The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024 The Rise of AI-Generated Content in Wikipedia EMNLP 2024 The Risks of Recourse in Binary Classification AISTATS 2024 The Role of Data Curation in Image Captioning EACL 2024 The role of morphosyntactic similarity in generating related sentences NAACL 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 The SETU-ADAPT Submissions to WMT 2024 Chat Translation Tasks EMNLP 2024 The SlayQA benchmark of social reasoning: testing gender-inclusive generalization with neopronouns EMNLP 2024 The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification NAACL 2024 The Uli Dataset: An Exercise in Experience Led Annotation of oGBV NAACL 2024 The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better NeurIPS 2024 The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric ICLR 2024 The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 2024 The Use of Phone Categories and Cross-Language Modeling for Phone Alignment of Panãra Interspeech 2024 The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation NAACL 2024 Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks NAACL 2024 Think Before You Act: Decision Transformers with Working Memory ICML 2024 Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024 “Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024 Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024