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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330

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1,020

1,828

2,498

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3,854

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6,422

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1,666

2000

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Papers (including subtopics)

Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning ICML 2025 Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection COLING 2025 ControlMed: Adding Reasoning Control to Medical Language Model IJCNLP 2025 Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers EMNLP 2025 ConvMixFormer- A Resource-Efficient Convolution Mixer for Transformer-Based Dynamic Hand Gesture Recognition WACV 2025 Convolutional LoRA Aggregation for Unseen Tasks Adaptation EMNLP 2025 ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning EMNLP 2025 Cool-Fusion: Fuse Large Language Models without Training ACL 2025 Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection AAAI 2025 CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues COLING 2025 Copyright Infringement by Large Language Models in the EU: Misalignment, Safeguards, and the Path Forward EMNLP 2025 CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks ICCV 2025 CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025 CoRAG: Collaborative Retrieval-Augmented Generation NAACL 2025 CoRanking: Collaborative Ranking with Small and Large Ranking Agents EMNLP 2025 Core Context Aware Transformers for Long Context Language Modeling ICML 2025 CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation ACL 2025 Core Knowledge Learning Framework for Graph AAAI 2025 CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models ICML 2025 CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking ICLR 2025 Corpus Poisoning via Approximate Greedy Gradient Descent ACL 2025 Correcting the Tamazight Portions of FLORES+ and OLDI Seed Datasets EMNLP 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data AAAI 2025 Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning CVPR 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025