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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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'25

Papers (including subtopics)

The CALO Meeting Assistant NAACL 2007 The discriminant center-surround hypothesis for bottom-up saliency NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007 Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NeurIPS 2007 The Price of Bandit Information for Online Optimization NeurIPS 2007 The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 Vision-Aided Inertial Navigation for Precise Planetary Landing: Analysis and Experiments RSS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NeurIPS 2006 Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NeurIPS 2006 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006 Analysis of Contour Motions NeurIPS 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006 An Approach to Bounded Rationality NeurIPS 2006 A Probabilistic Exemplar Approach to Combine Laser and Vision for Person Tracking RSS 2006 A Scalable Machine Learning Approach to Go NeurIPS 2006 A selective attention multi--chip system with dynamic synapses and spiking neurons NeurIPS 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 A Theory of Retinal Population Coding NeurIPS 2006 Attentional Processing on a Spike-Based VLSI Neural Network NeurIPS 2006