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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)

Improving Existing Fault Recovery Policies NeurIPS 2009 Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation JMLR 2009 Individuation, Identification and Object Discovery NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Large scale graph-based SLAM using aerial images as prior information RSS 2009 Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NeurIPS 2009 Learning Linear Ranking Functions for Beam Search with Application to Planning JMLR 2009 Learning of 2D grasping strategies from box-based 3D object approximations RSS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 LQR-trees: Feedback motion planning on sparse randomized trees RSS 2009 Markov Properties for Linear Causal Models with Correlated Errors JMLR 2009 Maximum Entropy Discrimination Markov Networks JMLR 2009 Measuring model complexity with the prior predictive NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Nash Equilibria of Static Prediction Games NeurIPS 2009 Noisy Generalized Binary Search NeurIPS 2009 Nonlinear directed acyclic structure learning with weakly additive noise models NeurIPS 2009 Occlusive Components Analysis NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 On the consistency of multi-robot cooperative localization RSS 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 POMDPs for robotic tasks with mixed observability RSS 2009 Positioning unmanned aerial vehicles as communication relays for surveillance tasks RSS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009