Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. 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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43,441 to 43,500 of 61,211

Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS
Ali Khajeh-Hosseini, David Greenwood, Ian Sommerville
cs.DCarXiv:1002.3492v12010
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen +11
cs.LGcs.CLcs.SDarXiv:1909.09577v12019
Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models
Rohit Patel, Dieuwke Hupkes, Sloan Strader
cs.CVcs.AIcs.MMarXiv:2608.26317v12026
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen +3
cs.IRarXiv:2209.02544v42022
Data-driven discovery of Koopman eigenfunctions for control
Eurika Kaiser, J. Nathan Kutz, Steven L. Brunton
math.OCmath.DSarXiv:1707.01146v42017
Improved classical simulation of quantum circuits dominated by Clifford gates
Sergey Bravyi, David Gosset
quant-pharXiv:1601.07601v32016
Subgraph Filtering for Fair Graph Neural Networks
Haohui Lu, jiyuan Tian, Fangyu Zhou +1
cs.LGarXiv:2608.26437v12026
The Illustris Simulation: Public Data Release
Dylan Nelson, Annalisa Pillepich, Shy Genel +12
astro-ph.COastro-ph.GAastro-ph.HEarXiv:1504.00362v22015
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen +16
eess.AScs.AIcs.CLarXiv:2403.03100v32024
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zongyi Li, Nikola Borislavov Kovachki, Chris Choy +8
cs.LGmath.NAarXiv:2309.00583v12023
Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds
JaeHyeong Chang, Chengzhe Sun, Siwei Lyu
cs.SDcs.AIarXiv:2608.26346v12026
Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks
Jean Hausser, Korbinian Strimmer
stat.MLarXiv:0811.3579v32008
Consistent Video Depth Estimation
Xuan Luo, Jia-Bin Huang, Richard Szeliski +2
cs.CVarXiv:2004.15021v22020
RON: Reverse Connection with Objectness Prior Networks for Object Detection
Tao Kong, Fuchun Sun, Anbang Yao +3
cs.CVarXiv:1707.01691v12017
A causal graph-informed temporal convolution architecture for interpretable retail electricity price forecasting
Yufan Ji, Abdollah Shafieezadeh, Noah Dormady
stat.APcs.LGarXiv:2608.26234v12026
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
Ruihong Qiu, Jingjing Li, Zi Huang +1
cs.IRarXiv:1911.11942v22019
ReZero is All You Need: Fast Convergence at Large Depth
Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao +2
cs.LGcs.CLstat.MLarXiv:2003.04887v22020
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor +1
cs.AImath.OCarXiv:1506.02188v12015
Clustered Object Detection in Aerial Images
Fan Yang, Heng Fan, Peng Chu +2
cs.CVarXiv:1904.08008v32019
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
Federico Bianchi, Silvia Terragni, Dirk Hovy
cs.CLarXiv:2004.03974v22020
Co-Evolving Structured Knowledge and Reasoning in Language Models
Ryan Thomas Noonan, Linxi Zhao, Menghan Xu +6
cs.CLcs.AIcs.LGarXiv:2608.26386v12026
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov +1
cs.LGcs.AIarXiv:2302.02948v42023
Recurrent Batch Normalization
Tim Cooijmans, Nicolas Ballas, César Laurent +2
cs.LGarXiv:1603.09025v52016
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
Chao Li, Cheng Deng, Ning Li +3
cs.CVarXiv:1804.01223v12018
Characterizing the Landscape of Open-Source Satellite Software
Jinfeng Wen, Qi Liang, Yuehan Sun +4
cs.SEarXiv:2608.26211v12026
EDGE: Editable Dance Generation From Music
Jonathan Tseng, Rodrigo Castellon, C. Karen Liu
cs.SDcs.CVcs.GRarXiv:2211.10658v22022
Insights into Performance Fitness and Error Metrics for Machine Learning
M. Z. Naser, Amir Alavi
cs.LGphysics.data-anstat.MLarXiv:2006.00887v12020
A Review of automatic differentiation and its efficient implementation
Charles C. Margossian
cs.MSstat.COarXiv:1811.05031v22018
A Survey of Deep Learning Techniques for Weed Detection from Images
A S M Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen +2
cs.CVcs.LGarXiv:2103.01415v12021
Training behavior of deep neural network in frequency domain
Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao
cs.LGcs.AIcs.ITarXiv:1807.01251v62018
An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models
Eric Thrane, Colm Talbot
astro-ph.IMarXiv:1809.02293v92018
Distributed Training using an Intelligent Network
Nihar Shah, Ben Blier
cs.LGcs.DCcs.NIarXiv:2608.26453v12026
Global Second-order Pooling Convolutional Networks
Zilin Gao, Jiangtao Xie, Qilong Wang +1
cs.CVarXiv:1811.12006v22018
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang +2
eess.SYarXiv:1809.00057v22018
From Security Events to Conflict States: A Three-layer Cyber Defense Scenario Model for Enhanced Cyber Situational Awareness
Miguel Requena Micó, Mario Fernandez-Tarraga, Daniel Díaz-López +2
cs.CRarXiv:2608.27215v12026
Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems
M. Rosvall, C. T. Bergstrom
physics.soc-phcs.SIphysics.comp-pharXiv:1010.0431v22010
Skeleton-based Action Recognition with Convolutional Neural Networks
Chao Li, Qiaoyong Zhong, Di Xie +1
cs.CVarXiv:1704.07595v12017
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang, Hongge Chen, Chaowei Xiao +4
cs.LGstat.MLarXiv:2003.08938v72020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar
cs.LGstat.MLarXiv:1911.07979v32019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Xingxing Zhang, Furu Wei, Ming Zhou
cs.CLcs.LGarXiv:1905.06566v12019
Super-Resolution from Noisy Data
Emmanuel Candes, Carlos Fernandez-Granda
cs.ITmath.NAarXiv:1211.0290v32012
Privacy Preserving Machine Learning: Threats and Solutions
Mohammad Al-Rubaie, J. Morris Chang
cs.CRcs.LGarXiv:1804.11238v12018
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia +3
cs.LGcs.AIcs.CVarXiv:1909.09656v22019
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian +3
cs.CVcs.LGstat.MLarXiv:2111.05328v12021
Learning Sampling Distributions for Robot Motion Planning
Brian Ichter, James Harrison, Marco Pavone
cs.ROcs.LGarXiv:1709.05448v32017
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang, Lin Yang, Yefeng Zheng
cs.CVarXiv:1802.09655v22018
Graph States for Quantum Secret Sharing
Damian Markham, Barry C. Sanders
quant-pharXiv:0808.1532v32008
Boosting LLM Exploration via Weak-Model Guidance in RLVR
Xingyu Shen, Huishuai Zhang, Peng Li +2
cs.CLarXiv:2608.27420v12026
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Jingchen Fei, Zengbin Wang, Yukun Liu +3
cs.CVarXiv:2608.26632v12026
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Matthias Feurer, Katharina Eggensperger, Stefan Falkner +2
cs.LGstat.MLarXiv:2007.04074v32020
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:1707.03374v22017
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
Tong Qin, Jie Pan, Shaozu Cao +1
cs.CVarXiv:1901.03638v12019
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles +2
cs.CVarXiv:1902.03748v32019
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh +2
cs.CLarXiv:1806.00692v32018
Batch Bayesian Optimization via Local Penalization
Javier González, Zhenwen Dai, Philipp Hennig +1
stat.MLarXiv:1505.08052v42015
Graph limits and exchangeable random graphs
Persi Diaconis, Svante Janson
math.PRmath.COarXiv:0712.2749v12007
Zero-Shot Object Detection
Ankan Bansal, Karan Sikka, Gaurav Sharma +2
cs.CVarXiv:1804.04340v22018
Visual Classification via Description from Large Language Models
Sachit Menon, Carl Vondrick
cs.CVcs.LGarXiv:2210.07183v22022
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang +5
cs.CRcs.LGarXiv:2004.08856v22020
Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact
Mehdi El Krari, Jonathan Smith, Maria Fox
math.OCcs.ROarXiv:2608.27271v12026

Every paper with a summary

Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS

NeMo: a toolkit for building AI applications using Neural Modules

Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Data-driven discovery of Koopman eigenfunctions for control

Improved classical simulation of quantum circuits dominated by Clifford gates

Subgraph Filtering for Fair Graph Neural Networks

The Illustris Simulation: Public Data Release

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds

Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks

Consistent Video Depth Estimation

RON: Reverse Connection with Objectness Prior Networks for Object Detection

A causal graph-informed temporal convolution architecture for interpretable retail electricity price forecasting

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks

ReZero is All You Need: Fast Convergence at Large Depth

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach

Clustered Object Detection in Aerial Images

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Co-Evolving Structured Knowledge and Reasoning in Language Models

Efficient Online Reinforcement Learning with Offline Data

Recurrent Batch Normalization

Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

Characterizing the Landscape of Open-Source Satellite Software

EDGE: Editable Dance Generation From Music

Insights into Performance Fitness and Error Metrics for Machine Learning

A Review of automatic differentiation and its efficient implementation

A Survey of Deep Learning Techniques for Weed Detection from Images

Training behavior of deep neural network in frequency domain

An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models

Distributed Training using an Intelligent Network

Global Second-order Pooling Convolutional Networks

A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

From Security Events to Conflict States: A Three-layer Cyber Defense Scenario Model for Enhanced Cyber Situational Awareness

Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems

Skeleton-based Action Recognition with Convolutional Neural Networks

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

Super-Resolution from Noisy Data

Privacy Preserving Machine Learning: Threats and Solutions

Understanding and Robustifying Differentiable Architecture Search

Data Augmentation Can Improve Robustness

Learning Sampling Distributions for Robot Motion Planning

Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

Graph States for Quantum Secret Sharing

Boosting LLM Exploration via Weak-Model Guidance in RLVR

Who Remains, What Changes: Identity Anchored Composed Gait Retrieval

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Stress Test Evaluation for Natural Language Inference

Batch Bayesian Optimization via Local Penalization

Graph limits and exchangeable random graphs

Zero-Shot Object Detection

Visual Classification via Description from Large Language Models

Local Differential Privacy based Federated Learning for Internet of Things

Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact