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)
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling
JMLR 2016
Incremental Task and Motion Planning: A Constraint-Based Approach
RSS 2016
Inferring Forces and Learning Human Utilities From Videos
CVPR 2016
Information-Driven Adaptive Structured-Light Scanners
CVPR 2016
Instance-dependent Regret Bounds for Dueling Bandits
COLT 2016
Integrated Common Sense Learning and Planning in POMDPs
JMLR 2016
Integrated perception with recurrent multi-task neural networks
NeurIPS 2016
Interaction Networks for Learning about Objects, Relations and Physics
NeurIPS 2016
Interpretable Distribution Features with Maximum Testing Power
NeurIPS 2016
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
NeurIPS 2016
Inter-Speech Clicks in an Interspeech Keynote
Interspeech 2016
Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement
Interspeech 2016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
AISTATS 2016
Inverting Visual Representations With Convolutional Networks
CVPR 2016
Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations
COLING 2016
Joint Inference for Event Coreference Resolution
COLING 2016
Jointly Modeling Embedding and Translation to Bridge Video and Language
CVPR 2016
Joint Sound Source Separation and Speaker Recognition
Interspeech 2016
Korean FrameNet Expansion Based on Projection of Japanese FrameNet
COLING 2016
L2 Acquisition and Production of the English Rhotic Pharyngeal Gesture
Interspeech 2016
Learnable Visual Markers
NeurIPS 2016
Learning Action Maps of Large Environments via First-Person Vision
CVPR 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions
PGM 2016
Learning Algorithms for Second-Price Auctions with Reserve
JMLR 2016
Learning and Forecasting Opinion Dynamics in Social Networks
NeurIPS 2016