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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)

Kinematic Cartography for Locomotion at Low Reynolds Numbers RSS 2011 Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011 Learning person-object interactions for action recognition in still images NeurIPS 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NeurIPS 2011 Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011 Learning to Agglomerate Superpixel Hierarchies NeurIPS 2011 Learning to Search Efficiently in High Dimensions NeurIPS 2011 Load Balancing for Mobility-on-Demand Systems RSS 2011 Machine Learning Markets AISTATS 2011 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 Maximum Margin Multi-Instance Learning NeurIPS 2011 Minimax Algorithm for Learning Rotations COLT 2011 Missing Information Impediments to Learnability COLT 2011 Mixed Cumulative Distribution Networks AISTATS 2011 Model-Based Proprioceptive State Estimation for Spring-Mass Running RSS 2011 Monotone multi-armed bandit allocations COLT 2011 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011 Motion Planning Under Uncertainty In Highly Deformable Environments RSS 2011 Multi-Bandit Best Arm Identification NeurIPS 2011 Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation RSS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Object Detection with Grammar Models NeurIPS 2011 On Causal Discovery with Cyclic Additive Noise Models NeurIPS 2011