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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 to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning EMNLP 2023 Learning to CROSS exchange to solve min-max vehicle routing problems ICLR 2023 Learning to Decompose Visual Features with Latent Textual Prompts ICLR 2023 Learning to Design and Use Tools for Robotic Manipulation CoRL 2023 Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023 Learning To Detect Mirrors From Videos via Dual Correspondences CVPR 2023 Learning to Discover Skills through Guidance NeurIPS 2023 Learning to Drive Anywhere CoRL 2023 Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing CVPR 2023 Learning to Follow Object-Centric Image Editing Instructions Faithfully EMNLP 2023 Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes CVPR 2023 Learning to Ground Instructional Articles in Videos through Narrations ICCV 2023 Learning to Identify Critical States for Reinforcement Learning from Videos ICCV 2023 Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model ICML 2023 Learning to Induce Causal Structure ICLR 2023 Learning to Influence Human Behavior with Offline Reinforcement Learning NeurIPS 2023 Learning to Initiate and Reason in Event-Driven Cascading Processes ICML 2023 Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models ICLR 2023 Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation AAAI 2023 Learning to Learn: How to Continuously Teach Humans and Machines ICCV 2023 Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction ACL 2023 Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference ICLR 2023 Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task EMNLP 2023 Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues AAAI 2023 Learning to Modulate pre-trained Models in RL NeurIPS 2023