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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
'5
'10
'15
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'25

Papers (including subtopics)

Learning Nonparametric Models for Probabilistic Imitation NeurIPS 2006 Learning Recursive Control Programs from Problem Solving JMLR 2006 Learning the Structure of Linear Latent Variable Models JMLR 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Learning to parse images of articulated bodies NeurIPS 2006 Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006 Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NeurIPS 2006 Logistic Regression for Single Trial EEG Classification NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games NeurIPS 2006 Natural Actor-Critic for Road Traffic Optimisation NeurIPS 2006 Nonlinear physically-based models for decoding motor-cortical population activity NeurIPS 2006 Non-rigid point set registration: Coherent Point Drift NeurIPS 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 On Comparing the Power of Mobile Robots RSS 2006 On the Dubins Traveling Salesperson Problems: novel approximation algorithms RSS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Optimal Rules for Programmed Stochastic Self-Assembly RSS 2006 Optimal Single-Class Classification Strategies NeurIPS 2006 Point-Based Value Iteration for Continuous POMDPs JMLR 2006 Probabilistic Terrain Analysis For High-Speed Desert Driving RSS 2006 Pursuit and evasion in non-convex domains of arbitrary dimensions RSS 2006