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)

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025 LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks COLING 2025 LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning CVPR 2025 LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail) ICML 2025 LoRA Unlearns More and Retains More (Student Abstract) AAAI 2025 LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation ICLR 2025 LORD: Large Models Based Opposite Reward Design for Autonomous Driving WACV 2025 LORE: Continual Logit Rewriting Fosters Faithful Generation EMNLP 2025 LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging EMNLP 2025 LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025 LoRMA: Low-Rank Multiplicative Adaptation for LLMs ACL 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation ICLR 2025 LoSA: Long-Short-Range Adapter for Scaling End-to-End Temporal Action Localization WACV 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization EMNLP 2025 Losing Momentum in Continuous-time Stochastic Optimisation JMLR 2025 Loss Functions and Operators Generated by f-Divergences ICML 2025 Loss Functions for Predictor-based Neural Architecture Search ICCV 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding ICLR 2025 Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding NAACL 2025 Lost in Embeddings: Information Loss in Vision–Language Models EMNLP 2025 Lost in Literalism: How Supervised Training Shapes Translationese in LLMs ACL 2025 Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models ACL 2025 Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement EMNLP 2025