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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9,601 to 9,660 of 15,235

FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu, Xu Chen, Zhi Zhou +1
cs.NIcs.AIcs.DCarXiv:2012.07450v12020
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu, Yan Kang, Tianyuan Zou +6
cs.LGcs.AIcs.CRarXiv:2211.12814v42022
Design Space for Graph Neural Networks
Jiaxuan You, Rex Ying, Jure Leskovec
cs.LGcs.AIcs.SIarXiv:2011.08843v22020
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
Roy Or-El, Xuan Luo, Mengyi Shan +3
cs.CVcs.AIcs.GRarXiv:2112.11427v22021
Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
Boyu Gou, Ruohan Wang, Boyuan Zheng +5
cs.AIcs.CLcs.CVarXiv:2410.05243v32024
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen +5
cs.LGcs.AIstat.MLarXiv:1907.00456v22019
Baidu Apollo EM Motion Planner
Haoyang Fan, Fan Zhu, Changchun Liu +7
cs.ROcs.AIcs.LGarXiv:1807.08048v12018
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
Yuzhang Shang, Mu Cai, Bingxin Xu +2
cs.CVcs.AIcs.CLarXiv:2403.15388v62024
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Joseph Lemley, Shabab Bazrafkan, Peter Corcoran
cs.AIcs.LGstat.MLarXiv:1703.08383v12017
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski, Helmut Bölcskei
cs.ITcs.AIcs.LGarXiv:1512.06293v32015
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang +5
cs.LGcs.AIcs.CLarXiv:2404.14618v12024
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson, Margaret Mitchell
cs.AIcs.LGarXiv:1811.10104v22018
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
stat.MLcs.AIcs.LGarXiv:2006.05078v32020
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Lianghui Zhu, Xinggang Wang, Xinlong Wang
cs.CLcs.AIarXiv:2310.17631v22023
Diff Mining: Logit Differences Reveal Finetuning Objectives
Greg Kocher, Robert West, Clément Dumas +1
cs.LGcs.AIcs.CLarXiv:2608.26462v12026
Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu, Qi Wang, Huichen Li +3
cs.AIcs.CRcs.LGarXiv:1910.03137v42019
Magnon-induced phononic Chern insulator
Rui-Chang Shen, Yihao Yang, Haoran Xue
cond-mat.mes-hallcs.AIphysics.app-pharXiv:2608.27011v12026
Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance
Allison Zhuang, Santiago Aranguri
cs.AIarXiv:2608.27340v12026
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
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
Jiayi Ye, Yanbo Wang, Yue Huang +9
cs.CLcs.AIarXiv:2410.02736v22024
Cultural Bias and Cultural Alignment of Large Language Models
Yan Tao, Olga Viberg, Ryan S. Baker +1
cs.CLcs.AIarXiv:2311.14096v22023
Knowledge-Verified Emergent Deception in LLM Agents Under Conflicting Incentives
Zheyuan Liu, Weiliang Zhao, Xiangchi Yuan +3
cs.CLcs.AIarXiv:2608.26372v12026
Model Complexity of Deep Learning: A Survey
Xia Hu, Lingyang Chu, Jian Pei +2
cs.LGcs.AIarXiv:2103.05127v22021
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler, Shahar Givony, Tom Zahavy +2
cs.AIcs.LGarXiv:1604.07255v32016
Algorithms for multi-armed bandit problems
Volodymyr Kuleshov, Doina Precup
cs.AIcs.LGarXiv:1402.6028v12014
Fairness Invariants: A Relational Approach to Explaining and Mitigating Fairness Bugs
Ranit Debnath Akash, Ashish Kumar, Gang Tan +1
cs.SEcs.AIcs.LGarXiv:2608.26209v12026
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke, Kimin Lee, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:2009.08319v32020
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang, Chaoli Zhang, Tian Zhou +2
cs.LGcs.AIarXiv:2306.10347v22023
The Second Conversational Intelligence Challenge (ConvAI2)
Emily Dinan, Varvara Logacheva, Valentin Malykh +14
cs.AIcs.CLcs.HCarXiv:1902.00098v12019
Algorithm Selection for Combinatorial Search Problems: A Survey
Lars Kotthoff
cs.AIarXiv:1210.7959v12012
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen, Yash Sharma, Luigi Gresele +4
stat.MLcs.AIcs.CVarXiv:2106.04619v42021
OmniGen: Unified Image Generation
Shitao Xiao, Yueze Wang, Junjie Zhou +7
cs.CVcs.AIarXiv:2409.11340v22024
NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation
Zhiyuan Xu, Muhammad Firhard Roslan, Joseph Gardiner +2
cs.LGcs.AIcs.CRarXiv:2608.26222v12026
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran +1
cs.LGcs.AIcs.ROarXiv:1610.01283v42016
Understanding Attention and Generalization in Graph Neural Networks
Boris Knyazev, Graham W. Taylor, Mohamed R. Amer
cs.LGcs.AIstat.MLarXiv:1905.02850v32019
TensorFlow Distributions
Joshua V. Dillon, Ian Langmore, Dustin Tran +7
cs.LGcs.AIcs.PLarXiv:1711.10604v12017
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
ToolQA: A Dataset for LLM Question Answering with External Tools
Yuchen Zhuang, Yue Yu, Kuan Wang +2
cs.CLcs.AIarXiv:2306.13304v12023
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur d'Avila Garcez, Marco Gori, Luis C. Lamb +3
cs.AIarXiv:1905.06088v12019
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao, Yuxuan Hu, Letian Wang +3
cs.CVcs.AIcs.ROarXiv:2312.07488v22023
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen, Che Wang, Zijian Zhou +1
cs.LGcs.AIarXiv:2101.05982v22021
RTNav: Towards Real-Time Zero-Shot Object Navigation
Easop Lee, Lingyu Zhang, Boyuan Chen
cs.ROcs.AIcs.CVarXiv:2608.26496v12026
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang +4
cs.LGcs.AIcs.CLarXiv:2307.12856v42023
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan +6
eess.AScs.AIcs.CLarXiv:2304.09116v32023
Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model
Ross Williams, Niyousha Hosseinichimeh
physics.soc-phcs.AIcs.LGarXiv:2608.26221v12026
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Dai Shi
cs.CVcs.AIarXiv:2311.17132v32023
Analogical Inference for Multi-Relational Embeddings
Hanxiao Liu, Yuexin Wu, Yiming Yang
cs.LGcs.AIcs.CLarXiv:1705.02426v22017
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari +2
cs.AIcs.CLarXiv:2010.15875v12020
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchir Puri, David S. Kung, Geert Janssen +14
cs.SEcs.AIarXiv:2105.12655v22021
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy +7
cs.LGcs.AIcs.CLarXiv:2408.05147v22024
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid +1
cs.CVcs.AIarXiv:2110.13309v22021
Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2
cs.CLcs.AIcs.IRarXiv:1910.02517v12019
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian +3
cs.CLcs.AIcs.IRarXiv:2007.04032v12020
Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks
Tomer Ullman
cs.AIcs.CLarXiv:2302.08399v52023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang, Qian Liu, Bill Yuchen Lin +3
cs.CLcs.AIarXiv:2307.13269v32023
The DARPA Twitter Bot Challenge
V. S. Subrahmanian, Amos Azaria, Skylar Durst +18
cs.SIcs.AIcs.CYarXiv:1601.05140v22016
Knowledge distillation: A good teacher is patient and consistent
Lucas Beyer, Xiaohua Zhai, Amélie Royer +3
cs.CVcs.AIcs.LGarXiv:2106.05237v22021
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI
Sandra Wachter, Brent Mittelstadt, Chris Russell
cs.AIarXiv:2005.05906v12020
The Debate Over Understanding in AI's Large Language Models
Melanie Mitchell, David C. Krakauer
cs.LGcs.AIarXiv:2210.13966v32022
Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
Qianlong Lan, Vinothini Pandurangan, Anuj Kaul +1
cs.CRcs.AIarXiv:2608.27424v12026

Artificial Intelligence

FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring

Vertical Federated Learning: Concepts, Advances and Challenges

Design Space for Graph Neural Networks

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Baidu Apollo EM Motion Planner

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

Smart Augmentation - Learning an Optimal Data Augmentation Strategy

A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

50 Years of Test (Un)fairness: Lessons for Machine Learning

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Diff Mining: Logit Differences Reveal Finetuning Objectives

Detecting AI Trojans Using Meta Neural Analysis

Magnon-induced phononic Chern insulator

Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance

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

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Cultural Bias and Cultural Alignment of Large Language Models

Knowledge-Verified Emergent Deception in LLM Agents Under Conflicting Incentives

Model Complexity of Deep Learning: A Survey

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Algorithms for multi-armed bandit problems

Fairness Invariants: A Relational Approach to Explaining and Mitigating Fairness Bugs

Decoupling Representation Learning from Reinforcement Learning

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

The Second Conversational Intelligence Challenge (ConvAI2)

Algorithm Selection for Combinatorial Search Problems: A Survey

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

OmniGen: Unified Image Generation

NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

Understanding Attention and Generalization in Graph Neural Networks

TensorFlow Distributions

Federated Multi-Task Learning under a Mixture of Distributions

ToolQA: A Dataset for LLM Question Answering with External Tools

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

RTNav: Towards Real-Time Zero-Shot Object Navigation

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model

TransNeXt: Robust Foveal Visual Perception for Vision Transformers

Analogical Inference for Multi-Relational Embeddings

Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

History Aware Multimodal Transformer for Vision-and-Language Navigation

Fine-Grained Analysis of Propaganda in News Articles

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

The DARPA Twitter Bot Challenge

Knowledge distillation: A good teacher is patient and consistent

Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI

The Debate Over Understanding in AI's Large Language Models

Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners