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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 to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models ACL 2025 Learning to Refuse: Towards Mitigating Privacy Risks in LLMs COLING 2025 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 Learning to Rewrite: Generalized LLM-Generated Text Detection ACL 2025 Learning to Rewrite Negation Queries in Product Search COLING 2025 Learning to Route LLMs with Confidence Tokens ICML 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 Learning to Sample in Stochastic Optimization UAI 2025 Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025 Learning to Search from Demonstration Sequences ICLR 2025 Learning to See through Sound: From VggCaps to Multi2Cap for Richer Automated Audio Captioning EMNLP 2025 Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation ICLR 2025 Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise UAI 2025 Learning to Steer Markovian Agents under Model Uncertainty ICLR 2025 Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025 Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction EMNLP 2025 Learning Trajectories of Figurative Language for Pre-Trained Language Models EMNLP 2025 Learning Transformer-based World Models with Contrastive Predictive Coding ICLR 2025 Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control L4DC 2025 Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning AAAI 2025 Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding AAAI 2025 Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer ICLR 2025 Learning Visual Grounding from Generative Vision and Language Model WACV 2025 Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation AAAI 2025 Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025