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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)

Thompson Exploration with Best Challenger Rule in Best Arm Identification ACML 2023 Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing EMNLP 2023 Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NeurIPS 2023 Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning CVPR 2023 Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning EMNLP 2023 Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction EMNLP 2023 Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation EMNLP 2023 Thresholded linear bandits AISTATS 2023 TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection WACV 2023 Ticketed Learning–Unlearning Schemes COLT 2023 Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors ICLR 2023 TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering ICCV 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models ICCV 2023 TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining EMNLP 2023 TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs ICLR 2023 Time-Aware Language Modeling for Historical Text Dating EMNLP 2023 Time-Aware Representation Learning for Time-Sensitive Question Answering EMNLP 2023 Time-Considerable Dialogue Models via Reranking by Time Dependency EMNLP 2023 Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees L4DC 2023 Time Optimal Ergodic Search RSS 2023 Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa IJCAI 2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints ICLR 2023 TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields AAAI 2023 Tiny Updater: Towards Efficient Neural Network-Driven Software Updating ICCV 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023