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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
'10
'15
'20
'25

Papers (including subtopics)

Learning Reusable Manipulation Strategies CoRL 2023 Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers AAAI 2023 Learning Robot Manipulation from Cross-Morphology Demonstration CoRL 2023 Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023 Learning Robust State Observers using Neural ODEs L4DC 2023 Learning Safe Numeric Action Models AAAI 2023 Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping NeurIPS 2023 Learning Second-Order Attentive Context for Efficient Correspondence Pruning AAAI 2023 Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval AAAI 2023 Learning Semantic Relationship Among Instances for Image-Text Matching CVPR 2023 Learning Sequential Acquisition Policies for Robot-Assisted Feeding CoRL 2023 Learning Shared Safety Constraints from Multi-task Demonstrations NeurIPS 2023 Learning Simultaneous Navigation and Construction in Grid Worlds ICLR 2023 Learning Situation Hyper-Graphs for Video Question Answering CVPR 2023 Learning Stability Attention in Vision-based End-to-end Driving Policies L4DC 2023 Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023 Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023 Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023 Learning the Effects of Physical Actions in a Multi-modal Environment EACL 2023 Learning the Visualness of Text Using Large Vision-Language Models EMNLP 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 Learning to Act for Perceiving in Partially Unknown Environments IJCAI 2023 Learning to Bid in Repeated First-Price Auctions with Budgets ICML 2023 Learning to Binarize Continuous Features for Neuro-Rule Networks IJCAI 2023 Learning to Compose Soft Prompts for Compositional Zero-Shot Learning ICLR 2023