Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
2
10
16
4
22
142
170
186
174
228
232
299
478
424
470
688
1,389
2,431
4,106
5,263
6,557
7,659
9,959
14,521
18,823
8,763
2000
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Papers (including subtopics)
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 Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation
AAAI 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 Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
AAAI 2026
Learning to Infer Fast by Attending to Sparse Temporal Observations
UAI 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 Learn Weight Generation via Local Consistency Diffusion
CVPR 2026
Learning to Play Two-Player Perfect-Information Games without Knowledge
JMLR 2026
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
AAAI 2026
Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models
CVPR 2026
Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation
CVPR 2026
Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines
CVPR 2026
Learning to See through Illumination Extremes with Event Streaming in Multimodal Large Language Models
CVPR 2026