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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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Papers (including subtopics)

Learning sparse neural networks via sensitivity-driven regularization NeurIPS 2018 Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity AISTATS 2018 Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision RSS 2018 Learning Task Specifications from Demonstrations NeurIPS 2018 Learning Temporal Point Processes via Reinforcement Learning NeurIPS 2018 Learning to Act in Decentralized Partially Observable MDPs ICML 2018 Learning to Act Properly: Predicting and Explaining Affordances From Images CVPR 2018 Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information ACL 2018 Learning to Color from Language NAACL 2018 Learning to Control the Specificity in Neural Response Generation ACL 2018 Learning to Count Objects in Natural Images for Visual Question Answering ICLR 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018 Learning to Explain Ambiguous Headlines of Online News IJCAI 2018 Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018 Learning to Exploit Stability for 3D Scene Parsing NeurIPS 2018 Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data ACL 2018 Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays IJCAI 2018 Learning to Infer Final Plans in Human Team Planning IJCAI 2018 Learning to Localize Sound Source in Visual Scenes CVPR 2018 Learning to Localize Using a LiDAR Intensity Map CoRL 2018 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 Learning to Navigate in Cities Without a Map NeurIPS 2018 Learning to Optimize Tensor Programs NeurIPS 2018 Learning to Play With Intrinsically-Motivated, Self-Aware Agents NeurIPS 2018 Learning to Reason with Third Order Tensor Products NeurIPS 2018