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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)

Inference on networks of mixtures for robust robot mapping RSS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning and Model-Checking Networks of I/O Automata ACML 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 Learning optimal spike-based representations NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Learning Valuation Functions COLT 2012 Learning with Target Prior NeurIPS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Localizing 3D cuboids in single-view images NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Minimizing Uncertainty in Pipelines NeurIPS 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Multi-criteria Anomaly Detection using Pareto Depth Analysis NeurIPS 2012 Multimodal Learning with Deep Boltzmann Machines NeurIPS 2012 Multi-objective Monte-Carlo Tree Search ACML 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012