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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29,101 to 29,160 of 61,132

X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
Danfeng Hong, Naoto Yokoya, Gui-Song Xia +2
cs.CVarXiv:2006.13806v22020
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
Ethan Rudd, Manuel Günther, Terrance Boult
cs.CVarXiv:1603.07027v22016
Local Gradients Smoothing: Defense against localized adversarial attacks
Muzammal Naseer, Salman H. Khan, Fatih Porikli
cs.CVarXiv:1807.01216v22018
Transfer learning based multi-fidelity physics informed deep neural network
Souvik Chakraborty
cs.LGphysics.comp-phstat.MLarXiv:2005.10614v22020
Interplay Between NOMA and Other Emerging Technologies: A Survey
Mojtaba Vaezi, Gayan Amarasuriya, Yuanwei Liu +3
cs.ITarXiv:1903.10489v22019
Physics-Informed Deep Neural Operator Networks
Somdatta Goswami, Aniruddha Bora, Yue Yu +1
cs.LGmath.NAarXiv:2207.05748v22022
Multi-camera Realtime 3D Tracking of Multiple Flying Animals
Andrew D. Straw, Kristin Branson, Titus R. Neumann +1
cs.CVarXiv:1001.4297v12010
Using data mining techniques for diagnosis and prognosis of cancer disease
Shweta Kharya
cs.DBarXiv:1205.1923v12012
Cybersecurity of Industrial Cyber-Physical Systems: A Review
Hakan Kayan, Matthew Nunes, Omer Rana +2
cs.CRarXiv:2101.03564v12021
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
Zhiqiang Yuan, Yiling Lou, Mingwei Liu +4
cs.SEarXiv:2305.04207v32023
Greedy Layerwise Learning Can Scale to ImageNet
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
cs.LGstat.MLarXiv:1812.11446v32018
Quiver Semistability and Structured Kalman Decompositions for Networked Linear Dynamical Systems
Kazuo Murota, Tasuku Soma
math.OCeess.SYmath.RTarXiv:2608.29871v12026
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Eric V. Strobl, Kun Zhang, Shyam Visweswaran
stat.MEstat.MLarXiv:1702.03877v22017
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
Roger Girgis, Florian Golemo, Felipe Codevilla +5
cs.ROcs.AIcs.CVarXiv:2104.00563v32021
Unsupervised Scale-consistent Depth Learning from Video
Jia-Wang Bian, Huangying Zhan, Naiyan Wang +5
cs.CVarXiv:2105.11610v12021
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1
cs.CVcs.GRarXiv:2109.07448v12021
Patching open-vocabulary models by interpolating weights
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre +5
cs.CVcs.LGarXiv:2208.05592v22022
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee +1
cs.CVarXiv:1904.10247v32019
A High-Resolution Synthetic EV Charging Dataset for Cold-Climate Distribution Grid Impact Analysis: Trondheim, Norway (2020-2030)
Hanieh Taraghi Nazloo, Petr Musilek
eess.SYarXiv:2608.30199v12026
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kaiqing Zhang, Alec Koppel, Hao Zhu +1
math.OCcs.LGeess.SYarXiv:1906.08383v32019
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane Boning +1
cs.LGcs.AIstat.MLarXiv:2101.08452v12021
Consensus-ADMM for General Quadratically Constrained Quadratic Programming
Kejun Huang, Nicholas D. Sidiropoulos
math.OCarXiv:1601.02335v22016
Optimal Transport Aggregation for Visual Place Recognition
Sergio Izquierdo, Javier Civera
cs.CVarXiv:2311.15937v22023
Quantum Variational Autoencoder
Amir Khoshaman, Walter Vinci, Brandon Denis +3
quant-phcs.LGstat.MLarXiv:1802.05779v22018
Redefining Stablecoins from Nominal to Real Value: A Maximum Likelihood Approach
Tomonori Kanno, Kensuke Ito, Yushi Yoshimura +1
cs.CEecon.EMarXiv:2608.30225v12026
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu, Thiemo Alldieck, Cristian Sminchisescu
cs.CVarXiv:2110.13746v22021
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang, Xiaosong Jia, Hongyang Li +1
cs.AIarXiv:2311.01043v42023
funcX: A Federated Function Serving Fabric for Science
Ryan Chard, Yadu Babuji, Zhuozhao Li +5
cs.DCarXiv:2005.04215v12020
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images
Ramy A. Zeineldin, Mohamed E. Karar, Jan Coburger +2
eess.IVcs.CVarXiv:2004.12333v12020
Towards Cognitive Process-Aware Proactive Writing Support
Masahiro Yoshida, Atsuya Kobayashi, Kei Tateno +1
cs.HCcs.AIarXiv:2608.30424v12026
Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations
Giovanni Stabile, Gianluigi Rozza
math.NAarXiv:1710.11580v32017
Multi-partite entanglement speeds up quantum key distribution in networks
Michael Epping, Hermann Kampermann, Chiara Macchiavello +1
quant-pharXiv:1612.05585v22016
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo, Andrea Maracani, Umberto Michieli +1
cs.CVcs.LGeess.IVarXiv:2005.10876v12020
A Phased Workflow for Operating LLM-Based Coding Agents
Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1
cs.SEarXiv:2608.30701v12026
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
Renhe Jiang, Du Yin, Zhaonan Wang +7
cs.LGarXiv:2108.09091v12021
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
From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents
Can Zhang, Baofeng Zhang, Xiaotian Han +5
cs.CVarXiv:2608.31005v12026
Multilayer Networks in a Nutshell
Alberto Aleta, Yamir Moreno
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1804.03488v12018
FOCAN: A Fog-supported Smart City Network Architecture for Management of Applications in the Internet of Everything Environments
Paola G. Vinueza Naranjo, Zahra Pooranian, Mohammad Shojafar +2
cs.DCcs.NIarXiv:1710.01801v12017
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Sachin Mehta, Ezgi Mercan, Jamen Bartlett +3
cs.CVarXiv:1806.01313v12018
PixelIR: Fidelity-Perception Decoupling via Pixel-Space Image-Residual Flow Matching for Efficient One-Step Real-World Super-Resolution
Bingtian Qiao, Yue Shi, Yong Guo +2
cs.CVarXiv:2608.30782v12026
Koopman operator-based model reduction for switched-system control of PDEs
Sebastian Peitz, Stefan Klus
math.DSmath.OCarXiv:1710.06759v22017
Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints
Kaveh Bastani, Hamed Namavari, Jeffry Shaffer
cs.IRcs.LGstat.MLarXiv:1807.07468v12018
A Novel Hierarchical Intrusion Detection System based on Decision Tree and Rules-based Models
Ahmed Ahmim, Leandros Maglaras, Mohamed Amine Ferrag +2
cs.CRarXiv:1812.09059v12018
Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface
Sheng Hong, Cunhua Pan, Hong Ren +2
eess.SPcs.ITarXiv:2002.07063v42020
Swin Transformer for Fast MRI
Jiahao Huang, Yingying Fang, Yinzhe Wu +6
eess.IVcs.AIcs.CVarXiv:2201.03230v22022
Statistical significance of variables driving systematic variation
Neo Christopher Chung, John D. Storey
stat.MEq-bio.QMstat.AParXiv:1308.6013v12013
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification
Albert Angel, Nick Koudas, Nikos Sarkas +1
cs.DBarXiv:1203.0060v12012
DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things
Yi Ding, Guozheng Wu, Dajiang Chen +4
cs.CRcs.CVeess.IVarXiv:2004.05523v22020
Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang +4
cs.CLcs.AIarXiv:1710.10777v12017
Model Predictive Contouring Control for Collision Avoidance in Unstructured Dynamic Environments
Bruno Brito, Boaz Floor, Laura Ferranti +1
cs.ROarXiv:2010.10190v12020
Convergence and Equivalence results for the Jensen's inequality - Application to time-delay and sampled-data systems
Corentin Briat
eess.SYmath.DSmath.OCarXiv:1204.1069v12012
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang +1
cs.CVcs.AIcs.GRarXiv:2308.16905v12023
Single-Stage 6D Object Pose Estimation
Yinlin Hu, Pascal Fua, Wei Wang +1
cs.CVarXiv:1911.08324v22019
Event-triggered Control and Online Learning for Networked Systems under Computational Delays
Xiaobing Dai, Armin Lederer, Zewen Yang +4
cs.LGcs.ROeess.SYarXiv:2608.29576v12026
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu +25
cs.LGcs.AIcs.CVarXiv:2104.00405v12021
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani +1
cs.CVarXiv:1707.07538v12017
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

Every paper with a summary

X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes

Local Gradients Smoothing: Defense against localized adversarial attacks

Transfer learning based multi-fidelity physics informed deep neural network

Interplay Between NOMA and Other Emerging Technologies: A Survey

Physics-Informed Deep Neural Operator Networks

Multi-camera Realtime 3D Tracking of Multiple Flying Animals

Using data mining techniques for diagnosis and prognosis of cancer disease

Cybersecurity of Industrial Cyber-Physical Systems: A Review

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

Greedy Layerwise Learning Can Scale to ImageNet

Quiver Semistability and Structured Kalman Decompositions for Networked Linear Dynamical Systems

Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

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

Unsupervised Scale-consistent Depth Learning from Video

Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering

Patching open-vocabulary models by interpolating weights

Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN

A High-Resolution Synthetic EV Charging Dataset for Cold-Climate Distribution Grid Impact Analysis: Trondheim, Norway (2020-2030)

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Consensus-ADMM for General Quadratically Constrained Quadratic Programming

Optimal Transport Aggregation for Visual Place Recognition

Quantum Variational Autoencoder

Redefining Stablecoins from Nominal to Real Value: A Maximum Likelihood Approach

H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion

LLM4Drive: A Survey of Large Language Models for Autonomous Driving

funcX: A Federated Function Serving Fabric for Science

DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR Images

Towards Cognitive Process-Aware Proactive Writing Support

Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations

Multi-partite entanglement speeds up quantum key distribution in networks

Unsupervised Domain Adaptation in Semantic Segmentation: a Review

A Phased Workflow for Operating LLM-Based Coding Agents

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

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

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

From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents

Multilayer Networks in a Nutshell

FOCAN: A Fog-supported Smart City Network Architecture for Management of Applications in the Internet of Everything Environments

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

PixelIR: Fidelity-Perception Decoupling via Pixel-Space Image-Residual Flow Matching for Efficient One-Step Real-World Super-Resolution

Koopman operator-based model reduction for switched-system control of PDEs

Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints

A Novel Hierarchical Intrusion Detection System based on Decision Tree and Rules-based Models

Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface

Swin Transformer for Fast MRI

Statistical significance of variables driving systematic variation

Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification

DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

Understanding Hidden Memories of Recurrent Neural Networks

Model Predictive Contouring Control for Collision Avoidance in Unstructured Dynamic Environments

Convergence and Equivalence results for the Jensen's inequality - Application to time-delay and sampled-data systems

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

Single-Stage 6D Object Pose Estimation

Event-triggered Control and Online Learning for Networked Systems under Computational Delays

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

Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach

A neural network approach to ordinal regression

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning