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)

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024 UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond NeurIPS 2024 UrbanDataLayer: A Unified Data Pipeline for Urban Science NeurIPS 2024 URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement Interspeech 2024 USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024 User-Creator Feature Polarization in Recommender Systems with Dual Influence NeurIPS 2024 User Embedding Model for Personalized Language Prompting EACL 2024 User Inference Attacks on Large Language Models EMNLP 2024 User-item fairness tradeoffs in recommendations NeurIPS 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 USHER: Holistic Interference Avoidance for Resource Optimized ML Inference OSDI 2024 Using Early Readouts To Mediate Featural Bias in Distillation WACV 2024 Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs ICML 2024 USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval ICML 2024 USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings SemEval 2024 Utility-Fairness Trade-Offs and How to Find Them CVPR 2024 UTRad-NLP at #SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models ACL 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models CVPR 2024 Validating Privacy-Preserving Face Recognition under a Minimum Assumption CVPR 2024 VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models ACL 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models ACL 2024 ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation ICLR 2024 VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation EMNLP 2024