Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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7,381 to 7,440 of 15,425

Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas +3
cs.AIarXiv:2305.11014v22023
Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging
Hongyoon Choi, Kyong Hwan Jin
cs.CVcs.AIstat.MLarXiv:1704.06033v12017
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch
Youngeun Kim, Priyadarshini Panda
cs.CVcs.AIcs.NEarXiv:2010.01729v52020
Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V
Xinglong Liang, Chunyao Lu, Tianyu Zhang +4
cs.CVcs.AIarXiv:2608.30844v12026
Language-Driven Representation Learning for Robotics
Siddharth Karamcheti, Suraj Nair, Annie S. Chen +4
cs.ROcs.AIcs.CLarXiv:2302.12766v12023
RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning
Baibhab Chatterjee, Debayan Das, Shovan Maity +1
cs.CRcs.AIcs.NEarXiv:1805.01374v32018
Conducting Stylistic Analysis of Paintings through an Art-History Agent
Marc S. Walton, Astrid Harth
cs.CVcs.AIcs.CLarXiv:2608.29644v12026
Masked World Models for Visual Control
Younggyo Seo, Danijar Hafner, Hao Liu +4
cs.ROcs.AIcs.CVarXiv:2206.14244v32022
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
Anthony Corso, Robert J. Moss, Mark Koren +2
cs.LGcs.AIeess.SYarXiv:2005.02979v32020
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan, Rui Su, Weinan Zhang +1
cs.LGcs.AIstat.MLarXiv:1903.01344v32019
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu, Hongming Shan, Ge Wang
cs.CVcs.AIarXiv:2103.09382v32021
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan, Zhangyang Gao, Lirong Wu +4
cs.CVcs.AIarXiv:2206.12126v32022
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
Yuang Zhang, Jiaxi Gu, Li-Wen Wang +4
cs.CVcs.AIcs.MMarXiv:2406.19680v22024
VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Prediction
Md Jannatul Rakib Joy, Viet Vo, Caslon Chua
cs.AIarXiv:2608.30846v12026
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma, Jingwen Li, Zhiguang Cao +4
cs.LGcs.AIarXiv:2110.02544v32021
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye +1
cs.CLcs.AIarXiv:2212.10375v22022
FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production
Zhendong Li, Lei Sun, Letian Shi +8
cs.AIarXiv:2608.29814v12026
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Tianlong Chen, Yongduo Sui, Xuxi Chen +2
cs.LGcs.AIstat.MLarXiv:2102.06790v22021
Position Information in Transformers: An Overview
Philipp Dufter, Martin Schmitt, Hinrich Schütze
cs.CLcs.AIarXiv:2102.11090v22021
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Hugo Laurençon, Lucile Saulnier, Thomas Wang +51
cs.CLcs.AIarXiv:2303.03915v12023
Deep Reinforcement Learning and its Neuroscientific Implications
Matthew Botvinick, Jane X. Wang, Will Dabney +2
cs.AIcs.LGq-bio.NCarXiv:2007.03750v12020
RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter
Michele Mazza, Stefano Cresci, Marco Avvenuti +2
cs.SIcs.AIcs.CRarXiv:1902.04506v12019
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
cs.AIcs.CLcs.HCarXiv:1702.07826v22017
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
Helge Rhodin, Mathieu Salzmann, Pascal Fua
cs.CVcs.AIarXiv:1804.01110v12018
Hierarchical Imitation and Reinforcement Learning
Hoang M. Le, Nan Jiang, Alekh Agarwal +3
cs.LGcs.AIstat.MLarXiv:1803.00590v22018
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5
cs.CLcs.AIcs.LGarXiv:2306.05836v32023
SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents
Xiaofan Bai, Chao Liu, Hongqiang Lin +5
cs.AIarXiv:2608.30785v12026
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
cs.CYcs.AIcs.CLarXiv:2304.06034v12023
Sequential Recommendation via Stochastic Self-Attention
Ziwei Fan, Zhiwei Liu, Alice Wang +4
cs.IRcs.AIcs.LGarXiv:2201.06035v22022
ReACC: A Retrieval-Augmented Code Completion Framework
Shuai Lu, Nan Duan, Hojae Han +3
cs.SEcs.AIcs.CLarXiv:2203.07722v12022
Modern Bayesian Experimental Design
Tom Rainforth, Adam Foster, Desi R Ivanova +1
stat.MLcs.AIcs.LGarXiv:2302.14545v22023
SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision
Dain Kwon, Changmin Shin, Sunjong Park +5
cs.CVcs.AIarXiv:2608.30410v12026
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao +6
cs.CYcs.AIcs.HCarXiv:1911.08089v22019
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Sebastian Guendel, Sasa Grbic, Bogdan Georgescu +4
cs.CVcs.AIarXiv:1803.04565v12018
Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores
Qiyao Yan, Chenpeng Wang, Liangming Pan
cs.AIarXiv:2608.31068v12026
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang, Jimeng Sun
cs.LGcs.AIarXiv:2205.09328v22022
Detecting events and key actors in multi-person videos
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija +3
cs.CVcs.AIarXiv:1511.02917v22015
DiffPDE: Masked Diffusion Language Models as PDE Solver
Wenxuan Guo, Yuyang Hong, Lubin Fan +4
cs.AIarXiv:2608.30532v12026
Precision and Recall for Time Series
Nesime Tatbul, Tae Jun Lee, Stan Zdonik +2
cs.LGcs.AIarXiv:1803.03639v32018
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov +1
cs.AIcs.LGarXiv:2111.06077v22021
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model
Ying Shen, Huiyu Yang, Lin Lin
eess.AScs.AIcs.SDarXiv:2202.08210v12022
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
Roger Girgis, Florian Golemo, Felipe Codevilla +5
cs.ROcs.AIcs.CVarXiv:2104.00563v32021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane Boning +1
cs.LGcs.AIstat.MLarXiv:2101.08452v12021
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang, Xiaosong Jia, Hongyang Li +1
cs.AIarXiv:2311.01043v42023
Towards Cognitive Process-Aware Proactive Writing Support
Masahiro Yoshida, Atsuya Kobayashi, Kei Tateno +1
cs.HCcs.AIarXiv:2608.30424v12026
Understanding World or Predicting Future? A Comprehensive Survey of World Models
Jingtao Ding, Yunke Zhang, Yu Shang +12
cs.CLcs.AIcs.LGarXiv:2411.14499v42024
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu, Lin Li, Jiankai Sun +11
cs.AIcs.CYarXiv:2303.11568v22023
Swin Transformer for Fast MRI
Jiahao Huang, Yingying Fang, Yinzhe Wu +6
eess.IVcs.AIcs.CVarXiv:2201.03230v22022
Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang +4
cs.CLcs.AIarXiv:1710.10777v12017
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang +1
cs.CVcs.AIcs.GRarXiv:2308.16905v12023
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu +25
cs.LGcs.AIcs.CVarXiv:2104.00405v12021
A neural network approach to ordinal regression
Jianlin Cheng
cs.LGcs.AIcs.NEarXiv:0704.1028v12007
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Wen Zhang, Bibek Paudel, Liang Wang +5
cs.AIcs.CLarXiv:1903.08948v12019
OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques
Hamed Babaei Giglou, Sören Auer, Peio Popov +2
cs.AIarXiv:2608.31137v12026
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang, Ziyin Liu, Amir Zadeh +1
cs.LGcs.AIcs.CLarXiv:1808.03920v12018
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Chuhang Zou, Ersin Yumer, Jimei Yang +2
cs.CVcs.AIcs.LGarXiv:1708.01648v12017
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré +1
cs.CLcs.AIcs.HCarXiv:1901.05415v42019
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li +3
cs.CVcs.AIcs.CLarXiv:2308.09936v32023
Learning and Transfer of Modulated Locomotor Controllers
Nicolas Heess, Greg Wayne, Yuval Tassa +3
cs.ROcs.AIarXiv:1610.05182v12016
When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning
Hamed Babaei Giglou, Sören Auer, Jennifer D'Souza
cs.AIarXiv:2608.31118v12026

Artificial Intelligence

Generalized Planning in PDDL Domains with Pretrained Large Language Models

Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging

Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch

Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V

Language-Driven Representation Learning for Robotics

RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning

Conducting Stylistic Analysis of Paintings through an Art-History Agent

Masked World Models for Visual Control

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

SPICE: Semantic Pseudo-labeling for Image Clustering

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Prediction

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production

A Unified Lottery Ticket Hypothesis for Graph Neural Networks

Position Information in Transformers: An Overview

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Deep Reinforcement Learning and its Neuroscientific Implications

RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

Hierarchical Imitation and Reinforcement Learning

Can Large Language Models Infer Causation from Correlation?

SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents

Social Biases through the Text-to-Image Generation Lens

Sequential Recommendation via Stochastic Self-Attention

ReACC: A Retrieval-Augmented Code Completion Framework

Modern Bayesian Experimental Design

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores

TransTab: Learning Transferable Tabular Transformers Across Tables

Detecting events and key actors in multi-person videos

DiffPDE: Masked Diffusion Language Models as PDE Solver

Precision and Recall for Time Series

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations

Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model

Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Towards Cognitive Process-Aware Proactive Writing Support

Understanding World or Predicting Future? A Comprehensive Survey of World Models

Large AI Models in Health Informatics: Applications, Challenges, and the Future

Swin Transformer for Fast MRI

Understanding Hidden Memories of Recurrent Neural Networks

InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion

Avalanche: an End-to-End Library for Continual Learning

A neural network approach to ordinal regression

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques

Multimodal Language Analysis with Recurrent Multistage Fusion

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Learning and Transfer of Modulated Locomotor Controllers

When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning