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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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Papers (including subtopics)

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020 Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes WACV 2020 POST: POlicy-Based Switch Tracking AAAI 2020 PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction EMNLP 2020 Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games AAAI 2020 PRANK: motion Prediction based on RANKing NeurIPS 2020 Precise Task Formalization Matters in Winograd Schema Evaluations EMNLP 2020 Precise Tradeoffs in Adversarial Training for Linear Regression COLT 2020 Predicting Collaborative Task Performance Using Graph Interlocutor Acoustic Network in Small Group Interaction Interspeech 2020 Predicting deliberative outcomes ICML 2020 Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts ACL 2020 Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020 Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020 Predicting Reference: What do Language Models Learn about Discourse Models? EMNLP 2020 Predicting Responses to Psychological Questionnaires from Participants’ Social Media Posts and Question Text Embeddings EMNLP 2020 Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks CVPR 2020 Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract) AAAI 2020 Predicting the Focus of Negation: Model and Error Analysis ACL 2020 Predicting the Physical Dynamics of Unseen 3D Objects WACV 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks ICLR 2020 Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020 Predictive Coding for Locally-Linear Control ICML 2020 Preference-Based Image Generation WACV 2020 Preference learning along multiple criteria: A game-theoretic perspective NeurIPS 2020