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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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'25

Papers (including subtopics)

Learning Interpretable Features from Interventions RSS 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit ICCV 2025 Learning Invariant Causal Mechanism from Vision-Language Models ICML 2025 Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models ICML 2025 Learning Language Structures Through Grounding AAAI 2025 Learning Language through Grounding NAACL 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Learning Likelihood-Free Reference Priors ICML 2025 Learning LLM-as-a-Judge for Preference Alignment ICLR 2025 Learning Local Neighborhoods of Non-Gaussian Graphical Models AAAI 2025 Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach AAAI 2025 Learning More Expressive General Policies for Classical Planning Domains AAAI 2025 Learning Multi-interest Embedding with Dynamic Graph Cluster for Sequention Recommendation UAI 2025 Learning Multi-Level Features with Matryoshka Sparse Autoencoders ICML 2025 Learning Multiple Object States from Actions via Large Language Models WACV 2025 Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025 Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity ICCV 2025 Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning ICLR 2025 Learning on the Go: A Meta-learning Object Navigation Model ICCV 2025 Learning Optimal Auctions with Correlated Value Distributions AAAI 2025 Learning Optimal Multimodal Information Bottleneck Representations ICML 2025 Learning Personalized Decision Support Policies AAAI 2025 Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Learning Precise Affordances from Egocentric Videos for Robotic Manipulation ICCV 2025 Learning Probabilistic Temporal Logic Specifications for Stochastic Systems IJCAI 2025