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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)

Environmental statistics and the trade-off between model-based and TD learning in humans NIPS 2011
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NIPS 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NIPS 2011
Committing Bandits NIPS 2011
On Causal Discovery with Cyclic Additive Noise Models NIPS 2011
Variance Reduction in Monte-Carlo Tree Search NIPS 2011
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011
Efficient Offline Communication Policies for Factored Multiagent POMDPs NIPS 2011
Monte Carlo Value Iteration with Macro-Actions NIPS 2011
Differentially Private M-Estimators NIPS 2011
Solving Decision Problems with Limited Information NIPS 2011
How Do Humans Teach: On Curriculum Learning and Teaching Dimension NIPS 2011
A rational model of causal inference with continuous causes NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Collective Graphical Models NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Transfer from Multiple MDPs NIPS 2011
Continuous Rapid Action Value Estimates ACML 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
Support Vector Machines Under Adversarial Label Noise ACML 2011
Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011