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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)

Refocusing on Relevance: Personalization in NLG EMNLP 2021 Reformulating HOI Detection As Adaptive Set Prediction CVPR 2021 ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021 Regional Attention Networks With Context-Aware Fusion for Group Emotion Recognition WACV 2021 Region under Discussion for visual dialog EMNLP 2021 Regression Discontinuity Design under Self-selection AISTATS 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Regret Minimization for Causal Inference on Large Treatment Space AISTATS 2021 Regret-Optimal Filtering AISTATS 2021 Regret-optimal measurement-feedback control L4DC 2021 Regstar: efficient strategy synthesis for adversarial patrolling games UAI 2021 Regularized Mutual Learning for Personalized Federated Learning ACML 2021 Regularizing Attention Networks for Anomaly Detection in Visual Question Answering AAAI 2021 Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021 Reinforced History Backtracking for Conversational Question Answering AAAI 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021 Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease NeurIPS 2021 Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law AAAI 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks NeurIPS 2021 Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability Interspeech 2021 Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning in Newcomblike Environments NeurIPS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Reinforcement Learning of Implicit and Explicit Control Flow Instructions ICML 2021