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 Tree Interpretation from Object Representation for Deep Reinforcement Learning
NeurIPS 2021
Learning Triadic Belief Dynamics in Nonverbal Communication From Videos
CVPR 2021
Learning Value Functions in Deep Policy Gradients using Residual Variance
ICLR 2021
Learning View Selection for 3D Scenes
CVPR 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation
L4DC 2021
Learning "What-if" Explanations for Sequential Decision-Making
ICLR 2021
Learning What To Do by Simulating the Past
ICLR 2021
Learning While Playing in Mean-Field Games: Convergence and Optimality
ICML 2021
Learning with Algorithmic Supervision via Continuous Relaxations
NeurIPS 2021
Learning with Holographic Reduced Representations
NeurIPS 2021
Learning with Noisy Correspondence for Cross-modal Matching
NeurIPS 2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
L4DC 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
AAAI 2021
Learning with Selective Forgetting
IJCAI 2021
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
CoNLL 2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
IJCAI 2021
Learn-To-Race: A Multimodal Control Environment for Autonomous Racing
ICCV 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
ICML 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization
ACL 2021
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events
CoRL 2021
LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing
ACL 2021
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory
L4DC 2021
LEO: Learning Energy-based Models in Factor Graph Optimization
CoRL 2021
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension
EMNLP 2021
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
AAAI 2021