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 Human Driving Behaviors with Sequential Causal Imitation Learning
AAAI 2022
Learning in Congestion Games with Bandit Feedback
NeurIPS 2022
Learning in Markov games: Can we exploit a general-sum opponent?
UAI 2022
Learning in Observable POMDPs, without Computationally Intractable Oracles
NeurIPS 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data
AISTATS 2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
EMNLP 2022
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
EMNLP 2022
Learning Interpretable BEV Based VIO without Deep Neural Networks
CoRL 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
RSS 2022
Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings
AISTATS 2022
Learning Label Initialization for Time-Dependent Harmonic Extension.
IJCAI 2022
Learning large Bayesian networks with expert constraints
UAI 2022
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
JMLR 2022
Learning Logic Programs Though Divide, Constrain, and Conquer
AAAI 2022
Learning Losses for Strategic Classification
AAAI 2022
Learning low-dimensional generalizable natural features from retina using a U-net
NeurIPS 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
ICML 2022
Learning Mixed Strategies in Trajectory Games
RSS 2022
Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving
AAAI 2022
Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification
CVPR 2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
CoRL 2022
Learning more skills through optimistic exploration
ICLR 2022
Learning Multimodal VAEs through Mutual Supervision
ICLR 2022
Learning Network Architecture for Open-Set Recognition
AAAI 2022
Learning Neural Contextual Bandits through Perturbed Rewards
ICLR 2022