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

'20

'25

Papers (including subtopics)

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025 Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025 Lost in Translation: Benchmarking Commercial Machine Translation Models for Dyslexic-Style Text ACL 2025 Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues CVPR 2025 Lost in Variation: An Unsupervised Methodology for Mining Lexico-syntactic Patterns in Middle Arabic Texts COLING 2025 LOTA: Bit-Planes Guided AI-Generated Image Detection ICCV 2025 LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing ICCV 2025 LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression ICML 2025 LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences ACL 2025 Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification SemEval 2025 LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table CVPR 2025 LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025 Low-Biased General Annotated Dataset Generation CVPR 2025 Low-Bit Quantization Favors Undertrained LLMs ACL 2025 Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning EMNLP 2025 Low coordinate degree algorithms II: Categorical signals and generalized stochastic block models COLT 2025 Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions COLT 2025 Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization ICML 2025 Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space ICML 2025 Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering OSDI 2025 Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025 Lower Bound on Howard Policy Iteration for Deterministic Markov Decision Processes UAI 2025 Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers ICML 2025 Lower Bounds for Greedy Teaching Set Constructions COLT 2025