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)

DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NeurIPS 2024 Data Acquisition via Experimental Design for Data Markets NeurIPS 2024 Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification AAAI 2024 Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024 Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 Data-Augmentation-Based Dialectal Adaptation for LLMs NAACL 2024 Data Augmentation for Object Detection via Controllable Diffusion Models WACV 2024 Data Augmentation for Speech-Based Diacritic Restoration ACL 2024 Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ACL 2024 Data Augmentation via Latent Diffusion for Saliency Prediction ECCV 2024 Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NeurIPS 2024 Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 DataComp-LM: In search of the next generation of training sets for language models NeurIPS 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Data Contamination Can Cross Language Barriers EMNLP 2024 Data Contamination Report from the 2024 CONDA Shared Task ACL 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 Data Debugging with Shapley Importance over Machine Learning Pipelines ICLR 2024 Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024 Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality ICLR 2024 Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition AAAI 2024 Data Distribution Valuation NeurIPS 2024 Data Diversity Matters for Robust Instruction Tuning EMNLP 2024