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)
Interactive platform for the exploration of large-scale ‘living’ systematic maps
ACL 2025
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
ICLR 2025
Interactive Text Games: Lookahead Is All You Need!
ACL 2025
Interactive Training: Feedback-Driven Neural Network Optimization
EMNLP 2025
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
ICML 2025
INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information
IJCNLP 2025
Interdisciplinary Research in Conversation: A Case Study in Computational Morphology for Language Documentation
EMNLP 2025
Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis
ICLR 2025
Interleaved-Modal Chain-of-Thought
CVPR 2025
Intermediate Connectors and Geometric Priors for Language-Guided Affordance Segmentation on Unseen Object Categories
ICCV 2025
Intermediate Layer Classifiers for OOD generalization
ICLR 2025
Internal Chain-of-Thought: Empirical Evidence for Layer‐wise Subtask Scheduling in LLMs
EMNLP 2025
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
ACL 2025
Inter-Passage Verification for Multi-evidence Multi-answer QA
ACL 2025
Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
ICML 2025
Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models
EMNLP 2025
Interpretable Company Similarity with Sparse Autoencoders
ACL 2025
Interpretable DNFs
IJCAI 2025
Interpretable Failure Detection with Human-Level Concepts
AAAI 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks
CVPR 2025
Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data
JMLR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning
CVPR 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
Interpretable point cloud classification using multiple instance learning
ICCV 2025
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
AAAI 2025