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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)

Multiscale Topological Trajectory Classification with Persistent Homology RSS 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 Multi-View Super Vector for Action Recognition CVPR 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Occlusion Geodesics for Online Multi-Object Tracking CVPR 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014 Online Trajectory Planning in Dynamic Environments for Surgical Task Automation RSS 2014 On the convergence of no-regret learning in selfish routing ICML 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014 Optimal decision-making with time-varying evidence reliability NeurIPS 2014 Optimal Neural Codes for Control and Estimation NeurIPS 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Order-Independent Constraint-Based Causal Structure Learning JMLR 2014 Parsing Videos of Actions with Segmental Grammars CVPR 2014 Partition-wise Linear Models NeurIPS 2014 Patch to the Future: Unsupervised Visual Prediction CVPR 2014 Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NeurIPS 2014