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)
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CoRL 2023
Operator Learning for Nonlinear Adaptive Control
L4DC 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries
NeurIPS 2023
Opinion Optimization in Directed Social Networks
AAAI 2023
Opinion Tree Parsing for Aspect-based Sentiment Analysis
ACL 2023
Opponent-Limited Online Search for Imperfect Information Games
ICML 2023
Opportunities and Challenges in Neural Dialog Tutoring
EACL 2023
OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World
AAAI 2023
Optimal control of speech with context-dependent articulatory targets
Interspeech 2023
Optimal Decision Tree Policies for Markov Decision Processes
IJCAI 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
NeurIPS 2023
Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
CVPR 2023
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
ICML 2023
Optimal Rates for Bandit Nonstochastic Control
NeurIPS 2023
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems
AISTATS 2023
Optimal Scoring Rules for Multi-dimensional Effort
COLT 2023
Optimal Transport for Treatment Effect Estimation
NeurIPS 2023
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting
CVPR 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NeurIPS 2023
Optimal Treatment Regimes for Proximal Causal Learning
NeurIPS 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
NeurIPS 2023
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
ICLR 2023
Optimized Covariance Design for AB Test on Social Network under Interference
NeurIPS 2023
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
NeurIPS 2023
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
ICLR 2023