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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)

Inferring Unseen Views of People CVPR 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Information Theoretical Estimators Toolbox JMLR 2014 Learning Articulated Motions From Visual Demonstration RSS 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Local Decorrelation For Improved Pedestrian Detection NeurIPS 2014 Look at the Driver, Look at the Road: No Distraction! No Accident! CVPR 2014 Looking Beyond the Visible Scene CVPR 2014 Magnitude-sensitive preference formation` NeurIPS 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Model-Based Relational RL When Object Existence is Partially Observable ICML 2014 Modeling and Controlling Friendliness for An Interactive Museum Robot RSS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs RSS 2014 Multi-Heuristic A* RSS 2014 Multimodal Learning with Deep Boltzmann Machines JMLR 2014 Multimodal Neural Language Models ICML 2014