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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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'25

Papers (including subtopics)

Online Learning for Traffic Navigation in Congested Networks ALT 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Online Learning in Stackelberg Games with an Omniscient Follower ICML 2023 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 Online Map Vectorization for Autonomous Driving: A Rasterization Perspective NeurIPS 2023 Online Mechanism Design for Information Acquisition ICML 2023 Online Nonstochastic Model-Free Reinforcement Learning NeurIPS 2023 Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games NeurIPS 2023 Online Platforms and the Fair Exposure Problem under Homophily AAAI 2023 Online POMDP Planning with Anytime Deterministic Guarantees NeurIPS 2023 Online Pricing for Multi-User Multi-Item Markets NeurIPS 2023 Online Punctuation Restoration using ELECTRA Model for streaming ASR Systems Interspeech 2023 Online Reinforcement Learning in Stochastic Continuous-Time Systems COLT 2023 Online switching control with stability and regret guarantees L4DC 2023 Online Symbolic Regression with Informative Query AAAI 2023 On Measuring Fairness in Generative Models NeurIPS 2023 On Minimizing the Impact of Dataset Shifts on Actionable Explanations UAI 2023 On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes NeurIPS 2023 On Optimal Strategies for Wordle and General Guessing Games IJCAI 2023 On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023 On Provable Copyright Protection for Generative Models ICML 2023 On Quantizing Implicit Neural Representations WACV 2023 On quantum backpropagation, information reuse, and cheating measurement collapse NeurIPS 2023 On Representing Mixed-Integer Linear Programs by Graph Neural Networks ICLR 2023 On Robustness of Finetuned Transformer-based NLP Models EMNLP 2023