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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)

NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining WACV 2026 No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing Assistants ACL 2026 Noise-Aware Few-Shot Learning through Bi-directional Multi-View Prompt Alignment CVPR 2026 NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise ACL 2026 Noisy Correspondence Learning with Modality Gap Direction Correction AAAI 2026 No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning ACL 2026 Non-Contact Blood Pressure Estimation from Face Videos via Physiology-Aware Contrastive Learning WACV 2026 No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection CVPR 2026 Nonlinear Axiomatic Attribution for Cooperative Games UAI 2026 Non-Monotonic S4F Standpoint Logic AAAI 2026 Nonparametric Deep Fine-grained Clustering with Low-Rank Guided Vision-Language Model CVPR 2026 Nonparametric Greedy Equivalence Search with Prior-Fitted Networks CLeaR 2026 Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies JMLR 2026 NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning CVPR 2026 No Reader Left Behind: Multi-Agent Summaries Everyone Can Understand ACL 2026 NoReGeo: Non-Reasoning Geometry Benchmark AAAI 2026 No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding AAAI 2026 Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026 Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful Refinement UAI 2026 Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation AAAI 2026 Not All Tokens Are Meant to Be Forgotten AAAI 2026 Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning ACL 2026 Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes AAAI 2026 Not Everything Is Permitted: Constrained Cartesian Abstractions for Optimal Classical Planning AAAI 2026 Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions UAI 2026