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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)

Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts ICCV 2023 Towards Unsupervised Object Detection From LiDAR Point Clouds CVPR 2023 Towards Verifying the Geometric Robustness of Large-Scale Neural Networks AAAI 2023 Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023 Towards Voice Reconstruction from EEG during Imagined Speech AAAI 2023 Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing ICCV 2023 Towards Zero-shot Learning for End-to-end Cross-modal Translation Models EMNLP 2023 Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path EMNLP 2023 Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency MIDL 2023 Toward Unsupervised Realistic Visual Question Answering ICCV 2023 Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation CVPR 2023 ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation EMNLP 2023 Toxicity in chatgpt: Analyzing persona-assigned language models EMNLP 2023 Toxicity in Multilingual Machine Translation at Scale EMNLP 2023 TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments CVPR 2023 Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 2023 Tracing Linguistic Markers of Influence in a Large Online Organisation ACL 2023 Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence ICCV 2023 Tracking by Natural Language Specification with Long Short-term Context Decoupling ICCV 2023 Tracking Must Go On : Dialogue State Tracking with Verified Self-Training Interspeech 2023 TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CoRL 2023 Tracr: Compiled Transformers as a Laboratory for Interpretability NeurIPS 2023 TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning NeurIPS 2023 Trade-off Between Efficiency and Consistency for Removal-based Explanations NeurIPS 2023 Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023