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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
'5
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'25

Papers (including subtopics)

Referring Image Segmentation via Cross-Modal Progressive Comprehension CVPR 2020 Refining HTN Methods via Task Insertion with Preferences AAAI 2020 RefNet: A Reference-Aware Network for Background Based Conversation AAAI 2020 Reformer: The Efficient Transformer ICLR 2020 Reformulating Unsupervised Style Transfer as Paraphrase Generation EMNLP 2020 Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020 Regression under Human Assistance AAAI 2020 Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020 Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems UAI 2020 Regularization of Distinct Strategies for Unsupervised Question Generation EMNLP 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness AAAI 2020 Regularize, Expand and Compress: NonExpansive Continual Learning WACV 2020 Regularizing Black-box Models for Improved Interpretability NeurIPS 2020 Reinforced active learning for image segmentation ICLR 2020 Reinforced Molecular Optimization with Neighborhood-Controlled Grammars NeurIPS 2020 Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020 Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation ICLR 2020 Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020 Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020 Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions RSS 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Reinforcement Learning When All Actions Are Not Always Available AAAI 2020 Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives ICLR 2020 Reinforcement Learning with Non-Markovian Rewards AAAI 2020