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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NeurIPS 2022 Natural image synthesis for the retina with variational information bottleneck representation NeurIPS 2022 Natural Language Deduction through Search over Statement Compositions EMNLP 2022 Natural Language Deduction with Incomplete Information EMNLP 2022 Natural Language Processing for Multilingual Task-Oriented Dialogue ACL 2022 Natural Language Video Moment Localization Through Query-Controlled Temporal Convolution WACV 2022 Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions ICLR 2022 NaturalProver: Grounded Mathematical Proof Generation with Language Models NeurIPS 2022 Navigating Connected Memories with a Task-oriented Dialog System EMNLP 2022 Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning NeurIPS 2022 Nearest Neighbor Language Models for Stylistic Controllable Generation EMNLP 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022 Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs NeurIPS 2022 Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NeurIPS 2022 Near-Optimal Collaborative Learning in Bandits NeurIPS 2022 Near-Optimal Learning of Extensive-Form Games with Imperfect Information ICML 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Near-Optimal Multi-Agent Learning for Safe Coverage Control NeurIPS 2022 Near-Optimal No-Regret Learning Dynamics for General Convex Games NeurIPS 2022 Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism ICLR 2022 Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022 Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits UAI 2022 Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022 Negation, Coordination, and Quantifiers in Contextualized Language Models COLING 2022 Negative-Aware Attention Framework for Image-Text Matching CVPR 2022