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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)

Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition AAAI 2026 Learning plug-in surrogate endpoints for randomized experiments UAI 2026 Learning Quantized Continuous Controllers for Integer Hardware L4DC 2026 Learning Scene Coordinate Reconstruction from Unposed Images via Pose Graph Optimization CVPR 2026 Learning Selective LLM Autonomy from Copilot Feedback in Enterprise Customer Support Workflows ACL 2026 Learning Shortcut Models for Efficient Recursive Reasoning ACL 2026 Learning Spatial Decay for Vision Transformers AAAI 2026 Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models UAI 2026 Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026 Learning Through Concepts: Hierarchies, Logic and Reasoning AAAI 2026 Learning to Act Robustly with View-Invariant Latent Actions CVPR 2026 Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration CVPR 2026 Learning to Animate Images from A Few Videos to Portray Delicate Human Actions WACV 2026 Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning CVPR 2026 Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation AAAI 2026 Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain ACL 2026 Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity AAAI 2026 Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026 Learning to Diversify and Focus: A Reinforcement Framework for Open-Vocabulary HOI Detection CVPR 2026 Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting ACL 2026 Learning to Focus and Precise Cropping:A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs CVPR 2026 Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction AAAI 2026 Learning to Infer Parameterized Representations of Plants from 3D Scans CVPR 2026 Learning to Judge: LLMs Designing and Applying Evaluation Rubrics EACL 2026 Learning to Play Two-Player Perfect-Information Games without Knowledge JMLR 2026