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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 Production Functions for Supply Chains with Graph Neural Networks AAAI 2025 Learning Randomized Algorithms with Transformers ICLR 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning ICLR 2025 Learning Safety Constraints for Large Language Models ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025 Learning Sparsity for Effective and Efficient Music Performance Question Answering ACL 2025 Learning Spatiotemporal Dynamical Systems from Point Process Observations ICLR 2025 Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning ICLR 2025 Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation EMNLP 2025 Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization ICML 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games AAAI 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025 Learning Structured World Models From and For Physical Interactions AAAI 2025 Learning Subjective Label Distributions via Sociocultural Descriptors EMNLP 2025 Learning system dynamics without forgetting ICLR 2025 Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning ICLR 2025 Learning Task Representations from In-Context Learning ACL 2025 Learning Temporal Logic Predicates from Data with Statistical Guarantees L4DC 2025 Learning the Complexity of Weakly Noisy Quantum States ICLR 2025 Learning the Distribution Map in Reverse Causal Performative Prediction AISTATS 2025 Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models AAAI 2025 Learning the Power of "No": Foundation Models with Negations WACV 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING ICML 2025 Learning to Act Anywhere with Task-centric Latent Actions RSS 2025