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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)

Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Evolving Static Representations for Task Transfer JMLR 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010 How to Explain Individual Classification Decisions JMLR 2010 Identifying Cause and Effect on Discrete Data using Additive Noise Models AISTATS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 Inference and communication in the game of Password NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Learning Causal Structure from Overlapping Variable Sets AISTATS 2010 Learning from Logged Implicit Exploration Data NeurIPS 2010 Learning to combine foveal glimpses with a third-order Boltzmann machine NeurIPS 2010 Learning to localise sounds with spiking neural networks NeurIPS 2010 Lifted Inference Seen from the Other Side : The Tractable Features NeurIPS 2010 Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010 Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions JMLR 2010 LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information RSS 2010 LSTD with Random Projections NeurIPS 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 Monte-Carlo Planning in Large POMDPs NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010