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
'5
'10
'15
'20
'25
Papers (including subtopics)
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
AAAI 2026
Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models
CVPR 2026
Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation
CVPR 2026
Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines
CVPR 2026
Learning to See through Illumination Extremes with Event Streaming in Multimodal Large Language Models
CVPR 2026
Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
ACL 2026
Learning to Select Visual Tools from Experience
CVPR 2026
Learning to Solve PDEs on Neural Shape Representations
CVPR 2026
Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion
ACL 2026
Learning to Track Instance from Single Nature Language Description
CVPR 2026
Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module
AAAI 2026
Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos
CVPR 2026
Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
ACL 2026
Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding
WACV 2026
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
AAAI 2026
Learning What Helps: Task-Aligned Context Selection for Vision Tasks
CVPR 2026
Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling
ACL 2026
Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection
CVPR 2026
Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection
ACL 2026
Learning When to Personalize: LLM Based Playlist Generation via Query Taxonomy and Classification
EACL 2026
Learning Who to Treat When Treatment is Missing
UAI 2026
Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement
ACL 2026
Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution
ACL 2026
LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model
ACL 2026
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
ACL 2026