Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
NAACL 2025
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
ICML 2025
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
ICML 2025
From Keyterms to Context: Exploring Topic Description Generation in Scientific Corpora
EMNLP 2025
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
EMNLP 2025
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
CVPR 2025
From Language Models over Tokens to Language Models over Characters
ICML 2025
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
ICLR 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
ICLR 2025
From Learning to Optimize to Learning Optimization Algorithms
AISTATS 2025
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
ICCV 2025
From Lists to Emojis: How Format Bias Affects Model Alignment
ACL 2025
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
ICML 2025
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
AAAI 2025
From Long to Lean: Performance-aware and Adaptive Chain-of-Thought Compression via Multi-round Refinement
EMNLP 2025
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
ICML 2025
From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models
ACL 2025
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
ACL 2025
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
ICLR 2025
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
ACL 2025
From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling
EMNLP 2025
From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection
EMNLP 2025
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis
EMNLP 2025
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
ACL 2025
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment
ACL 2025