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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25,741 to 25,800 of 27,631

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
cs.CVcs.AIarXiv:1904.12304v12019
M3DR: Towards Universal Multilingual Multimodal Document Retrieval
Adithya S Kolavi, Vyoman Jain
cs.IRcs.AIcs.CLarXiv:2512.03514v12025
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu, Bin Fan, Shiming Xiang +1
cs.CVcs.AIcs.CGarXiv:1904.07601v32019
Local Relation Networks for Image Recognition
Han Hu, Zheng Zhang, Zhenda Xie +1
cs.CVcs.AIcs.LGarXiv:1904.11491v12019
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1
cs.CVcs.AIcs.LGarXiv:1710.09762v22017
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
stat.MLcs.AIcs.LGarXiv:1903.12394v32019
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
cs.CVcs.AIcs.LGarXiv:1904.11740v12019
The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
cs.AIcs.CYcs.LGarXiv:1903.03425v22019
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan +5
cs.ROcs.AIcs.LGarXiv:1810.10191v22018
Meta-Sim: Learning to Generate Synthetic Datasets
Amlan Kar, Aayush Prakash, Ming-Yu Liu +6
cs.CVcs.AIcs.GRarXiv:1904.11621v12019
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Elisabetta Fedele, Francis Engelmann, Ian Huang +3
cs.CVcs.AIarXiv:2512.05343v22025
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang, Yuchen Fan +4
cs.CVcs.AIarXiv:1809.03327v12018
Summaries:한국어
Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo +2
cs.LGcs.AIcs.ROarXiv:1904.04762v22019
Semantic Neural Machine Translation using AMR
Linfeng Song, Daniel Gildea, Yue Zhang +2
cs.CLcs.AIarXiv:1902.07282v12019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Chi Zhang, Feng Gao, Baoxiong Jia +2
cs.CVcs.AIcs.LGarXiv:1903.02741v12019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen, Stefano Rosa, Yishu Miao +4
cs.CVcs.AIcs.LGarXiv:1903.01534v12019
Exploration by Random Network Distillation
Yuri Burda, Harrison Edwards, Amos Storkey +1
cs.LGcs.AIstat.MLarXiv:1810.12894v12018
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Stephen Tian, Frederik Ebert, Dinesh Jayaraman +4
cs.ROcs.AIcs.CVarXiv:1903.04128v12019
A spelling correction model for end-to-end speech recognition
Jinxi Guo, Tara N. Sainath, Ron J. Weiss
eess.AScs.AIcs.CLarXiv:1902.07178v12019
Generative Models from the perspective of Continual Learning
Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz +2
cs.LGcs.AIcs.CVarXiv:1812.09111v12018
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
TonTon Hsien-De Huang, Hung-Yu Kao
cs.CRcs.AIarXiv:1705.04448v52017
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17
cs.CVcs.AIcs.LGarXiv:1901.07031v12019
Safe Skill Retirement for Physical Agents
Zhonghao Zhan, Xiao Ma, Hamed Haddadi
cs.AIarXiv:2609.29543v12026
Cooperating with Machines
Jacob W. Crandall, Mayada Oudah, Tennom +7
cs.AIarXiv:1703.06207v52017
Learning to Drive in a Day
Alex Kendall, Jeffrey Hawke, David Janz +6
cs.LGcs.AIcs.ROarXiv:1807.00412v22018
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng, Wei Wu, Fei Wang +8
cs.CLcs.AIcs.CVarXiv:1901.10125v72019
CogenPVG: Cognitive-Enhanced Reflective Multi-Agent Framework for Persuasive Video Generation
Yuntian Xiao, Shoulong Zhang, Wenfeng Song +3
cs.MMcs.AIarXiv:2609.25821v12026
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
cs.CVcs.AIcs.LGarXiv:1812.03596v32018
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.AIcs.LGarXiv:1811.07770v22018
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1811.01533v12018
Automated Algorithm Selection: Survey and Perspectives
Pascal Kerschke, Holger H. Hoos, Frank Neumann +1
cs.LGcs.AIstat.MLarXiv:1811.11597v12018
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu, Yen-Cheng Liu, Anita Ramasamy +1
cs.LGcs.AIcs.CVarXiv:1810.12488v42018
Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution
Veronica Poweska, Ariana Oyanguren, Jessica Pourleyli +2
cs.AIcs.MAcs.SEarXiv:2609.26952v12026
Modeling Localness for Self-Attention Networks
Baosong Yang, Zhaopeng Tu, Derek F. Wong +3
cs.CLcs.AIarXiv:1810.10182v12018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi, Jiajun Wu, Chuang Gan +3
cs.AIcs.CLcs.CVarXiv:1810.02338v22018
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
Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.07253v12018
Techniques for Interpretable Machine Learning
Mengnan Du, Ninghao Liu, Xia Hu
cs.LGcs.AIstat.MLarXiv:1808.00033v32018
Learning Shape Priors for Single-View 3D Completion and Reconstruction
Jiajun Wu, Chengkai Zhang, Xiuming Zhang +3
cs.CVcs.AIarXiv:1809.05068v12018
A Survey on Natural Language Processing for Fake News Detection
Ray Oshikawa, Jing Qian, William Yang Wang
cs.CLcs.AIarXiv:1811.00770v22018
Observing the Conduct of Systematic Reviews with Generative AI Support: An Experience Report from a Graduate Software Engineering Course
Danilo Monteiro Ribeiro, Gilberto Sussumu Hida
cs.CYcs.AIcs.SEarXiv:2609.26057v12026
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
cs.LGcs.AIcs.HCarXiv:1809.07424v12018
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
Araz Taeihagh, Hazel Si Min Lim
cs.CYcs.AIcs.CRarXiv:1807.05720v12018
SMILESGNN: Interpretable Clinical Toxicity Prediction via SMILES-Graph Cross-Attention Fusion
Quang Minh Nguyen, Thuy Quynh Nguyen, Duc Minh Le +3
cs.LGcs.AIarXiv:2609.28553v12026
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg +9
cs.ROcs.AIcs.LGarXiv:1811.02790v12018
WaveGlow: A Flow-based Generative Network for Speech Synthesis
Ryan Prenger, Rafael Valle, Bryan Catanzaro
cs.SDcs.AIcs.LGarXiv:1811.00002v12018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai, Rares Ambrus, Adrien Gaidon
cs.CVcs.AIcs.LGarXiv:1810.01849v12018
Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures
Ruoqi Guo, Yi Liu, Gelei Deng +6
cs.AIcs.CLcs.CRarXiv:2609.29429v12026
SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics
Qibai Chen, Zeming Liu
cs.AIcs.SEarXiv:2609.11180v12026
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.00196v22018
Learning State Representations for Query Optimization with Deep Reinforcement Learning
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1
cs.DBcs.AIcs.LGarXiv:1803.08604v12018
Selection-Invariant Communication Compilers for Privacy-Aware Multi-Agent LLM Workflows
Jinghan Xu, Longze Fan, Zeyuan Wang +2
cs.AIcs.CRarXiv:2609.26076v12026
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation
Zhijie Fang, Antonio M. López
cs.CVcs.AIcs.ROarXiv:1807.10580v12018
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets
T. J. Barton, Chris Constantakis, Patti Hauseman +4
cs.AIcs.CEcs.MAarXiv:2609.05663v12026
Semantic Variability of Replies Across LLMs: Implications for Designing Conversation-Based Assessment
Jiangang Hao
cs.CLcs.AIcs.HCarXiv:2608.24920v12026
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang +9
cs.CLcs.AIarXiv:1809.08887v52018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey Ignatov, Radu Timofte, William Chou +4
cs.AIcs.CVarXiv:1810.01109v22018
TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming
Yibo Hu, Yu Qian, Mao Gu +6
cs.AIcs.CVarXiv:2608.20958v12026
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao +4
cs.CLcs.AIarXiv:1809.05972v52018
Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks
Remon Polus, Deemah Tashman, Soumaya Cherkaoui
cs.AIarXiv:2609.26565v12026

Artificial Intelligence

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

M3DR: Towards Universal Multilingual Multimodal Document Retrieval

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

Local Relation Networks for Image Recognition

How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

The Ethics of AI Ethics -- An Evaluation of Guidelines

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

Meta-Sim: Learning to Generate Synthetic Datasets

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Active Domain Randomization

Semantic Neural Machine Translation using AMR

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Selective Sensor Fusion for Neural Visual-Inertial Odometry

Exploration by Random Network Distillation

Manipulation by Feel: Touch-Based Control with Deep Predictive Models

A spelling correction model for end-to-end speech recognition

Generative Models from the perspective of Continual Learning

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Safe Skill Retirement for Physical Agents

Cooperating with Machines

Learning to Drive in a Day

Glyce: Glyph-vectors for Chinese Character Representations

CogenPVG: Cognitive-Enhanced Reflective Multi-Agent Framework for Persuasive Video Generation

Task-Free Continual Learning

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

Transfer learning for time series classification

Automated Algorithm Selection: Survey and Perspectives

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution

Modeling Localness for Self-Attention Networks

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

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

Quantifying Uncertainties in Natural Language Processing Tasks

Techniques for Interpretable Machine Learning

Learning Shape Priors for Single-View 3D Completion and Reconstruction

A Survey on Natural Language Processing for Fake News Detection

Observing the Conduct of Systematic Reviews with Generative AI Support: An Experience Report from a Graduate Software Engineering Course

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks

SMILESGNN: Interpretable Clinical Toxicity Prediction via SMILES-Graph Cross-Attention Fusion

RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

WaveGlow: A Flow-based Generative Network for Speech Synthesis

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation

Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures

SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics

Towards Explainable NLP: A Generative Explanation Framework for Text Classification

Learning State Representations for Query Optimization with Deep Reinforcement Learning

Selection-Invariant Communication Compilers for Privacy-Aware Multi-Agent LLM Workflows

Is the Pedestrian going to Cross? Answering by 2D Pose Estimation

What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets

Semantic Variability of Replies Across LLMs: Implications for Designing Conversation-Based Assessment

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

AI Benchmark: Running Deep Neural Networks on Android Smartphones

TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks