conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

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'25

Papers (including subtopics)

NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors ACL 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 NLP-ADBench: NLP Anomaly Detection Benchmark EMNLP 2025 NLPART at SemEval-2025 Task 4: Forgetting is harder than Learning SemEval 2025 NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection SemEval 2025 NLP for preserving Torlak, a vulnerable low-resource Slavic language COLING 2025 NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer SemEval 2025 NLP_goats_DravidianLangTech_2025__Detecting_AI_Written_Reviews_for_Consumer_Trust NAACL 2025 NLP_goats@DravidianLangTech 2025: Detecting Fake News in Dravidian Languages: A Text Classification Approach NAACL 2025 NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models COLING 2025 NLP Needs Diversity outside of ‘Diversity’ EMNLP 2025 NLP-ResTeam at LeWiDi-2025:Performance Shifts in Perspective Aware Models based on Evaluation Metrics EMNLP 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 nlptuducd at SemEval-2025 Task 10: Narrative Classification as a Retrieval Task through Story Embeddings SemEval 2025 NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs SemEval 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning AAAI 2025 NN-Former: Rethinking Graph Structure in Neural Architecture Representation CVPR 2025 No Annotations for Object Detection in Art through Stable Diffusion WACV 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 Node Similarities under Random Projections: Limits and Pathological Cases ICLR 2025 No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs ICLR 2025 No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models EMNLP 2025 No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models ICLR 2025 No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users EMNLP 2025 Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025