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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 Causal Alignment for Reliable Disease Diagnosis ICLR 2025 Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025 Learning Causal Response Representations through Direct Effect Analysis UAI 2025 Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025 Learning Classifiers That Induce Markets ICML 2025 Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision L4DC 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification ICML 2025 Learning Compositional Functions with Transformers from Easy-to-Hard Data COLT 2025 Learning Contextual Retrieval for Robust Conversational Search EMNLP 2025 Learning Counterfactually Decoupled Attention for Open-World Model Attribution ICCV 2025 Learning Cross-Dialectal Morphophonology with Syllable Structure Constraints COLING 2025 Learning Diagrams: A Graphical Language for Compositional Training Regimes ICLR 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 Learning Distribution-wise Control in Representation Space for Language Models ICML 2025 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR 2025 Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval AAAI 2025 Learning Dynamics in Continual Pre-Training for Large Language Models ICML 2025 Learning Dynamics of LLM Finetuning ICLR 2025 Learning Efficient and Generalizable Human Representation with Human Gaussian Model ICCV 2025 Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025 Learning Evolving Tools for Large Language Models ICLR 2025 Learning Extrapolative Sequence Transformations from Markov Chains ICML 2025 Learning Feasible Transitions for Efficient Contact Planning L4DC 2025 Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation AAAI 2025 Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination AAAI 2025