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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Differentially Private M-Estimators NeurIPS 2011 DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011 Distributed Robot Ensemble Control for Deployment to Multiple Sites RSS 2011 Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Efficient Offline Communication Policies for Factored Multiagent POMDPs NeurIPS 2011 Energetically Optimal Action Potentials NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Exploiting spatial overlap to efficiently compute appearance distances between image windows NeurIPS 2011 Expressive Power and Approximation Errors of Restricted Boltzmann Machines NeurIPS 2011 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011 From Caging to Grasping RSS 2011 Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 Identification and Representation of Homotopy Classes of Trajectories for Search-based Path Planning in 3D RSS 2011 Image Parsing with Stochastic Scene Grammar NeurIPS 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011 Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NeurIPS 2011 Joint 3D Estimation of Objects and Scene Layout NeurIPS 2011 Kernel Belief Propagation AISTATS 2011