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Core AI

59,089 papers (13 classified directly here)

Subtopics

Multimodal Learning (13,185) Large Language Models (7,668) Interpretability (7,452) Foundation Models (4,860) Agent Systems (4,088) Multi-Agent Systems (3,480) Causal Inference (3,333) Planning (3,142) AI Safety (3,026) Reasoning (2,964) Human-AI Interaction (2,346) Natural Language Processing (2,158) Responsible AI (2,003) Model Compression (1,952) Game AI (1,781) Computer Vision (1,680) Multi-Modal Learning (1,530) Autonomous Vehicles (1,362) Language (1,325) Adversarial Learning (1,292) Fairness (1,193) Dialogue Systems (1,015) Reinforcement Learning (984) Game Theory (939) Robotics (931) Efficient Computing (716) Knowledge Graph (714) Procedural Generation (665) Trajectory Prediction (634) Natural Language Generation (536) Privacy (520) Memory (460) Information Retrieval (425) Safety (414) Knowledge Representation (398) Evaluation (393) Knowledge (382) Information Extraction (371) Decision Making (294) Knowledge Graphs (261) Knowledge Editing (196) Speech Processing (193) Vision-Language Models (159) Question Answering (158) Retrieval-Augmented Generation (147) Knowledge Distillation (121) Attention (118) Brain-Computer Interface (104) Code Generation (99) Security (95) Natural Language Understanding (67) Uncertainty Quantification (56) Learning Paradigms (52) Robustness (49) Representation Learning (48) Education (44) Explainability (41) Risk Management (40) Speech Recognition (29) Automated Reasoning (28) Natural Language Inference (26) Multi-Lingual Learning (26) Machine Translation (22) Visual Question Answering (21) Anomaly Detection (16) Communication (13) Representation (11) Neural Networks (11) Sentiment Analysis (9) Motion Analysis (7)

Papers per year

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Papers (including subtopics)

Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
A conditional game for comparing approximations AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources AISTATS 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Kernel Belief Propagation AISTATS 2011
Machine Learning Markets AISTATS 2011
An Instantiation-Based Theorem Prover for First-Order Programming AISTATS 2011
Regret Bounds for the Adaptive Control of Linear Quadratic Systems COLT 2011
Blackwell Approachability and No-Regret Learning are Equivalent COLT 2011
Sample Complexity Bounds for Differentially Private Learning COLT 2011
Robust approachability and regret minimization in games with partial monitoring COLT 2011
Contextual Bandits with Similarity Information COLT 2011
Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011
Minimax Algorithm for Learning Rotations COLT 2011
Missing Information Impediments to Learnability COLT 2011
Monotone multi-armed bandit allocations COLT 2011
Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011
Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011
Differentially Private Empirical Risk Minimization JMLR 2011
Anechoic Blind Source Separation Using Wigner Marginals JMLR 2011
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011
-Armed Bandits JMLR 2011