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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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11
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Papers (including subtopics)

Group Invariance Principles for Causal Generative Models AISTATS 2018
A Provable Algorithm for Learning Interpretable Scoring Systems AISTATS 2018
Best arm identification in multi-armed bandits with delayed feedback AISTATS 2018
Human Interaction with Recommendation Systems AISTATS 2018
Cause-Effect Inference by Comparing Regression Errors AISTATS 2018
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games AISTATS 2018
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information AISTATS 2018
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018
Structured Factored Inference for Probabilistic Programming AISTATS 2018
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise AISTATS 2018
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models AISTATS 2018
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity AISTATS 2018
Factorized Recurrent Neural Architectures for Longer Range Dependence AISTATS 2018
Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018
Turing: A Language for Flexible Probabilistic Inference AISTATS 2018
Competing with Automata-based Expert Sequences AISTATS 2018
Robust Locally-Linear Controllable Embedding AISTATS 2018
Convergence of Value Aggregation for Imitation Learning AISTATS 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018
Learning Hidden Quantum Markov Models AISTATS 2018
{Multi-Player Bandits Revisited} ALT 2018
Decision making with limited feedback ALT 2018
Instrument-Armed Bandits ALT 2018
Markov Decision Processes with Continuous Side Information ALT 2018
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018