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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)

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data IJCAI 2023 Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms CoRL 2023 Reinforcement Learning for Solving Stochastic Vehicle Routing Problem ACML 2023 Reinforcement Learning from Passive Data via Latent Intentions ICML 2023 Reinforcement Learning with Fast and Forgetful Memory NeurIPS 2023 Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023 Reinforcement Learning with Simple Sequence Priors NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods Interspeech 2023 Reject Decoding via Language-Vision Models for Text-to-Image Synthesis AAAI 2023 Relational Attention: Generalizing Transformers for Graph-Structured Tasks ICLR 2023 Relational Context Learning for Human-Object Interaction Detection CVPR 2023 Relationship between auditory and semantic entrainment using Deep Neural Networks (DNN) Interspeech 2023 Relationships Between Gender, Personality Traits and Features of Multi-Modal Data to Responses to Spoken Dialog Systems Breakdown Interspeech 2023 Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences ICLR 2023 Relaxing Contrastiveness in Multimodal Representation Learning WACV 2023 Relevant Walk Search for Explaining Graph Neural Networks ICML 2023 Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023 Reliable and Interpretable Drift Detection in Streams of Short Texts ACL 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Reliable Neuro-Symbolic Abstractions for Planning and Learning IJCAI 2023 Reliable Off-Policy Learning for Dosage Combinations NeurIPS 2023 Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023 ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks IJCAI 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023