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 soft interventions in complex equilibrium systems
UAI 2022
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
AISTATS 2022
Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images
IJCAI 2022
Learning Spatio-Temporal Specifications for Dynamical Systems
L4DC 2022
Learning State-Aware Visual Representations from Audible Interactions
NeurIPS 2022
Learning State Representations via Retracing in Reinforcement Learning
ICLR 2022
Learning Symmetric Embeddings for Equivariant World Models
ICML 2022
Learning Symmetric Rules with SATNet
NeurIPS 2022
Learning Temporally Causal Latent Processes from General Temporal Data
ICLR 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
CoRL 2022
Learning Temporal Video Procedure Segmentation From an Automatically Collected Large Dataset
WACV 2022
Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing
CoRL 2022
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
AAAI 2022
Learning Through Transcription
ACL 2022
Learning To Align Sequential Actions in the Wild
CVPR 2022
Learning To Answer Questions in Dynamic Audio-Visual Scenarios
CVPR 2022
Learning To Anticipate Future With Dynamic Context Removal
CVPR 2022
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
NAACL 2022
Learning to Branch with Tree MDPs
NeurIPS 2022
Learning to Complete Code with Sketches
ICLR 2022
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
L4DC 2022
Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning
CoRL 2022
Learning To Estimate Robust 3D Human Mesh From In-the-Wild Crowded Scenes
CVPR 2022
Learning to Evaluate Humor in Memes Based on the Incongruity Theory
COLING 2022
Learning to Execute Actions or Ask Clarification Questions
NAACL 2022