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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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Papers (including subtopics)

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks NeurIPS 2018 Learning to Represent Programs with Graphs ICLR 2018 Learning to Search in Long Documents Using Document Structure COLING 2018 Learning to search with MCTSnets ICML 2018 Learning to Share and Hide Intentions using Information Regularization NeurIPS 2018 Learning to Solve SMT Formulas NeurIPS 2018 Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences MLHC 2018 Learning to Teach ICLR 2018 Learning to Teach with Dynamic Loss Functions NeurIPS 2018 Learning Transferable UAV for Forest Visual Perception IJCAI 2018 Learning Two Tone Languages Enhances the Brainstem Encoding of Lexical Tones Interspeech 2018 Learning under Misspecified Objective Spaces CoRL 2018 Learning Unmanned Aerial Vehicle Control for Autonomous Target Following IJCAI 2018 Learning Visual Knowledge Memory Networks for Visual Question Answering CVPR 2018 Learning Visually-Grounded Semantics from Contrastive Adversarial Samples COLING 2018 Learning Visually Grounded Sentence Representations NAACL 2018 Learning What Information to Give in Partially Observed Domains CoRL 2018 Learning with Latent Language NAACL 2018 Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution EMNLP 2018 Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NeurIPS 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Legal Judgment Prediction via Topological Learning EMNLP 2018 Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games ICML 2018 Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers ACL 2018 Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention EMNLP 2018