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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27,241 to 27,300 of 61,350

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis
Quan Huu Cap, Hiroyuki Uga, Satoshi Kagiwada +1
cs.CVarXiv:2002.10100v22020
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis +7
cs.LGcs.AIcs.CRarXiv:2205.01992v32022
MS-MEM: Multi-Skill Manipulation-Enhanced Mapping via Uncertainty- and Disturbance-Aware Action Selection
Yitian Shi, Jesper Mücke, Nils Dengler +3
cs.ROarXiv:2609.02493v12026
Accelerated Variational Quantum Eigensolver
Daochen Wang, Oscar Higgott, Stephen Brierley
quant-pharXiv:1802.00171v32018
Bounds-Constrained Finite Element Approximation of Time-Dependent Partial Differential Equations
Robert C. Kirby, John D. Stephens
math.NAarXiv:2609.01915v12026
Document-Level Machine Translation with Large Language Models
Longyue Wang, Chenyang Lyu, Tianbo Ji +4
cs.CLcs.AIarXiv:2304.02210v22023
TALM: Tool Augmented Language Models
Aaron Parisi, Yao Zhao, Noah Fiedel
cs.CLcs.AIarXiv:2205.12255v12022
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff, Eugene I. Shakhnovich, Connor W. Coley
q-bio.QMcs.LGarXiv:2012.07127v12020
An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection
Di Wang, Jinyuan Liu, Risheng Liu +1
cs.CVarXiv:2305.09999v12023
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar, Michael Fulham, Dagan Feng +1
cs.CVarXiv:1810.02492v22018
Cyberattacks and Countermeasures For In-Vehicle Networks
Emad Aliwa, Omer Rana, Charith Perera +1
cs.CRarXiv:2004.10781v12020
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIstat.MLarXiv:1807.11622v42018
Detecting Object Hallucinations in Large Vision-Language Models via Cross-Modal Attention Drifts and Mask-Based Verification
Xuanbing Wen, Boxu Chen, Le Yang +4
cs.CVarXiv:2609.02028v12026
WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading
Gang-Hyun Park, Ju-Hyeong Lee, Hee-Youl Kwak +1
cs.CRcs.LGarXiv:2609.02177v12026
Understanding the Failure Modes of Out-of-Distribution Generalization
Vaishnavh Nagarajan, Anders Andreassen, Behnam Neyshabur
cs.LGcs.CVstat.MLarXiv:2010.15775v32020
NAM: Normalization-based Attention Module
Yichao Liu, Zongru Shao, Yueyang Teng +1
cs.CVeess.IVarXiv:2111.12419v12021
Perspective-Guided Convolution Networks for Crowd Counting
Zhaoyi Yan, Yuchen Yuan, Wangmeng Zuo +4
cs.CVarXiv:1909.06966v12019
Unified Vision and Language Prompt Learning
Yuhang Zang, Wei Li, Kaiyang Zhou +2
cs.CVcs.AIarXiv:2210.07225v12022
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michał Stypułkowski, Konstantinos Vougioukas, Sen He +3
cs.CVarXiv:2301.03396v22023
Differentiating information transfer and causal effect
Joseph T. Lizier, Mikhail Prokopenko
nlin.AOnlin.CGarXiv:0812.4373v12008
Identifying network communities with a high resolution
Jianhua Ruan, Weixiong Zhang
physics.soc-phphysics.comp-pharXiv:0704.3759v12007
Card-Based Computation in the Virtual Player Simulation Model
Suthee Ruangwises
cs.CRarXiv:2609.02716v12026
Characterizing the Life Cycle of Online News Stories Using Social Media Reactions
Carlos Castillo, Mohammed El-Haddad, Jürgen Pfeffer +1
cs.SIcs.CYphysics.soc-pharXiv:1304.3010v32013
Semantic Segmentation with Boundary Neural Fields
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
cs.CVarXiv:1511.02674v22015
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
Ken C. L. Wong, Mehdi Moradi, Hui Tang +1
cs.CVarXiv:1809.00076v22018
Deciphering Malware's use of TLS (without Decryption)
Blake Anderson, Subharthi Paul, David McGrew
cs.CRarXiv:1607.01639v12016
Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
Zhihua Liu, Pierre Magal, Ousmane Seydi +1
q-bio.PEmath.DSarXiv:2002.12298v12020
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
Kun Wu, Chengkai Hou, Jiaming Liu +34
cs.ROcs.AIarXiv:2412.13877v32024
Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis
Subash Khanal, Yangzhi Cui, Daniel Cher +4
cs.CVarXiv:2609.02683v12026
A Survey on Open Information Extraction
Christina Niklaus, Matthias Cetto, André Freitas +1
cs.CLarXiv:1806.05599v12018
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Ellery Wulczyn, David F. Steiner, Melissa Moran +20
eess.IVcs.CVarXiv:2011.08965v12020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu, Xiaolin Huang, Yudong Chen +1
stat.MLcs.LGarXiv:2004.11154v52020
Weather Influence and Classification with Automotive Lidar Sensors
Robin Heinzler, Philipp Schindler, Jürgen Seekircher +2
cs.CVarXiv:1906.07675v12019
Meta-Transformer: A Unified Framework for Multimodal Learning
Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang +4
cs.CVcs.AIcs.CLarXiv:2307.10802v12023
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang +12
cs.AIcs.CLcs.LGarXiv:2404.02078v12024
Fundamental Schemes for Efficient Unconditionally Stable Implicit Finite-Difference Time-Domain Methods
Eng Leong Tan
math.NAeess.SYmath.AParXiv:2011.14043v12020
Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
Christopher E Moody
cs.CLarXiv:1605.02019v12016
Unsupervised Question Decomposition for Question Answering
Ethan Perez, Patrick Lewis, Wen-tau Yih +2
cs.CLcs.AIcs.LGarXiv:2002.09758v32020
SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective
James Di Novo, Hany Ragab, Sylvain P. Leblanc
cs.CRcs.LGarXiv:2609.02741v12026
The Serverless Computing Survey: A Technical Primer for Design Architecture
Zijun Li, Linsong Guo, Jiagan Cheng +3
cs.DCarXiv:2112.12921v22021
Integrating Document Clustering and Topic Modeling
Pengtao Xie, Eric P. Xing
cs.LGcs.CLcs.IRarXiv:1309.6874v12013
Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
Zhen Gao, Linglong Dai, Wei Dai +2
cs.ITarXiv:1512.02918v32015
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:1903.08548v22019
Network-Aware Forecasting on Wireless Access Points
Niloo Bahadori, Swadhin Pradhan, Peiman Amini
cs.NIcs.LGarXiv:2609.01957v12026
Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
Davide Albanese, Michele Filosi, Roberto Visintainer +3
stat.MLq-bio.QMarXiv:1208.4271v22012
Discrete Time Mean-Field Stochastic Linear-Quadratic Optimal Control Problems
Robert. J Elliott, Xun Li, Yuan-Hua Ni
math.OCarXiv:1302.6416v22013
Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection
Chen Wu, Bo Du, Liangpei Zhang
cs.CVcs.AIeess.IVarXiv:2201.06030v12022
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg +1
cs.CVcs.LGarXiv:2108.09038v12021
Boreas: A Multi-Season Autonomous Driving Dataset
Keenan Burnett, David J. Yoon, Yuchen Wu +9
cs.ROarXiv:2203.10168v22022
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng, Ming Jin, Yixin Liu +3
cs.LGarXiv:2108.09896v22021
Differentiable Electricity-Market Clearing for Gradient-Based Planning
Luca Mungo, Maarten P. Scholl, Arnau Quera-Bofarull
cs.LGcs.CYarXiv:2609.02646v12026
OpenXAI: Towards a Transparent Evaluation of Model Explanations
Chirag Agarwal, Dan Ley, Satyapriya Krishna +6
cs.LGcs.AIarXiv:2206.11104v52022
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu, Mihir Sahasrabudhe, Alp Guler +3
cs.CVarXiv:1806.06503v12018
Estimating the Coherence of Noise
Joel J. Wallman, Christopher Granade, Robin Harper +1
quant-pharXiv:1503.07865v42015
Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web
Dennis Trautwein, Aravindh Raman, Gareth Tyson +5
cs.NIarXiv:2208.05877v12022
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
Emre Neftci, Srinjoy Das, Bruno Pedroni +2
cs.NEq-bio.NCarXiv:1311.0966v32013
Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security
Nanchi Su, Fan Liu, Christos Masouros
eess.SParXiv:2210.08286v12022
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka +1
cs.LGcs.AIstat.MLarXiv:1206.6386v12012
Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu +3
cs.CLarXiv:2011.01675v22020
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Lior Shani, Yonathan Efroni, Shie Mannor
cs.LGmath.OCstat.MLarXiv:1909.02769v22019

Every paper with a summary

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

MS-MEM: Multi-Skill Manipulation-Enhanced Mapping via Uncertainty- and Disturbance-Aware Action Selection

Accelerated Variational Quantum Eigensolver

Bounds-Constrained Finite Element Approximation of Time-Dependent Partial Differential Equations

Document-Level Machine Translation with Large Language Models

TALM: Tool Augmented Language Models

Accelerating high-throughput virtual screening through molecular pool-based active learning

An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer

Cyberattacks and Countermeasures For In-Vehicle Networks

Count-Based Exploration with the Successor Representation

Detecting Object Hallucinations in Large Vision-Language Models via Cross-Modal Attention Drifts and Mask-Based Verification

WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading

Understanding the Failure Modes of Out-of-Distribution Generalization

NAM: Normalization-based Attention Module

Perspective-Guided Convolution Networks for Crowd Counting

Unified Vision and Language Prompt Learning

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation

Differentiating information transfer and causal effect

Identifying network communities with a high resolution

Card-Based Computation in the Virtual Player Simulation Model

Characterizing the Life Cycle of Online News Stories Using Social Media Reactions

Semantic Segmentation with Boundary Neural Fields

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes

Deciphering Malware's use of TLS (without Decryption)

Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis

A Survey on Open Information Extraction

Interpretable Survival Prediction for Colorectal Cancer using Deep Learning

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

Weather Influence and Classification with Automotive Lidar Sensors

Meta-Transformer: A Unified Framework for Multimodal Learning

Advancing LLM Reasoning Generalists with Preference Trees

Fundamental Schemes for Efficient Unconditionally Stable Implicit Finite-Difference Time-Domain Methods

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

Unsupervised Question Decomposition for Question Answering

SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective

The Serverless Computing Survey: A Technical Primer for Design Architecture

Integrating Document Clustering and Topic Modeling

Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Network-Aware Forecasting on Wireless Access Points

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

Discrete Time Mean-Field Stochastic Linear-Quadratic Optimal Control Problems

Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection

Is it Time to Replace CNNs with Transformers for Medical Images?

Boreas: A Multi-Season Autonomous Driving Dataset

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection

Differentiable Electricity-Market Clearing for Gradient-Based Planning

OpenXAI: Towards a Transparent Evaluation of Model Explanations

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Estimating the Coherence of Noise

Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems

Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

Joint Entity and Relation Extraction with Set Prediction Networks

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs