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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)

Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning NeurIPS 2023 Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract) AAAI 2023 Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation ICLR 2023 Risks and NLP Design: A Case Study on Procedural Document QA ACL 2023 RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs ACL 2023 RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023 RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing NeurIPS 2023 RLIPv2: Fast Scaling of Relational Language-Image Pre-Training ICCV 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation ICCV 2023 RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NeurIPS 2023 RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023 ROBBIE: Robust Bias Evaluation of Large Generative Language Models EMNLP 2023 Robo3D: Towards Robust and Reliable 3D Perception against Corruptions ICCV 2023 RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools CoRL 2023 RoboHive: A Unified Framework for Robot Learning NeurIPS 2023 Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models RSS 2023 Robot Parkour Learning CoRL 2023 Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners CoRL 2023 Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence CVPR 2023 Robust Algorithms on Adaptive Inputs from Bounded Adversaries ICLR 2023 Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023 Robust Bayesian Satisficing NeurIPS 2023 Robust Causal Graph Representation Learning against Confounding Effects AAAI 2023 Robust Code Summarization EMNLP 2023