Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Interacting Markov Random Fields for Simultaneous Terrain Modeling and Obstacle Detection
RSS 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach
JMLR 2005
Square Root SAM
RSS 2005
Time Complexity of Sensor-Based Vehicle Routing
RSS 2005
Exact Bayesian Structure Discovery in Bayesian Networks
JMLR 2004
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
JMLR 2003
Blind Source Recovery: A Framework in the State Space
JMLR 2003
ILP: A Short Look Back and a Longer Look Forward
JMLR 2003
Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
JMLR 2003
Matching Words and Pictures
JMLR 2003
Nash Q-Learning for General-Sum Stochastic Games
JMLR 2003
On Inclusion-Driven Learning of Bayesian Networks
JMLR 2003
Preference Elicitation via Theory Refinement
JMLR 2003
Relational Learning as Search in a Critical Region
JMLR 2003
Speedup Learning for Repair-based Search by Identifying Redundant Steps
JMLR 2003
Learning Precise Timing with LSTM Recurrent Networks
JMLR 2002
Lyapunov Design for Safe Reinforcement Learning
JMLR 2002
Optimal Structure Identification With Greedy Search
JMLR 2002
Tracking a Small Set of Experts by Mixing Past Posteriors
JMLR 2002
Learning Evaluation Functions to Improve Optimization by Local Search
JMLR 2000