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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6,121 to 6,180 of 61,339

Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li, Mingzhe Hu, Xiaofeng Yang
eess.IVcs.CVarXiv:2305.00293v12023
Simulating a perceptron on a quantum computer
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
quant-phcs.LGcs.NEarXiv:1412.3635v12014
Placement of EV Charging Stations --- Balancing Benefits among Multiple Entities
Chao Luo, Yih-Fang Huang, Vijay Gupta
eess.SPcs.GTecon.EMarXiv:1801.02129v12018
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
cs.CVcs.LGarXiv:1702.01334v12017
Probabilistic Prediction of Vehicle Semantic Intention and Motion
Yeping Hu, Wei Zhan, Masayoshi Tomizuka
cs.LGstat.MLarXiv:1804.03629v12018
TempTPI: Informer-Based trajectory prediction for maritime vessels
Kevin Ferneding, Veronika Lietavcova, Aleksandra M. Blachowiak +1
cs.LGarXiv:2609.09840v12026
JuliaReach: a Toolbox for Set-Based Reachability
Sergiy Bogomolov, Marcelo Forets, Goran Frehse +2
eess.SYmath.DSarXiv:1901.10736v22019
The Shield that Never Was: Societies with Single-Peaked Preferences are More Open to Manipulation and Control
P. Faliszewski, E. Hemaspaandra, L. A. Hemaspaandra +1
cs.GTcs.CCcs.MAarXiv:0909.3257v22009
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian, Yi Jiang, Qishuai Diao +3
cs.CVcs.AIcs.LGarXiv:2301.03580v22023
DF26: We Cannot Tell Fake From Real Anymore
Severyn Shykula, Andrii Yermakov, Ivan Samarskyi +3
cs.CVarXiv:2609.07369v12026
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping
Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri
cs.DBcs.DSarXiv:1201.2969v12012
Programming with a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky +1
cs.NEcs.AIcs.LGarXiv:1605.06640v32016
Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes
Akira Kitaoka
cs.LGcs.DSmath.OCarXiv:2609.09809v12026
Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles
Jiawei Wang, Yang Zheng, Qing Xu +2
math.OCeess.SYarXiv:2002.02099v12020
From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques
Bin Hou, Qingjie Liu, Heng Wang +1
cs.CVeess.IVarXiv:2003.06583v12020
NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces
Daniel Adu Worae, Aarthy Nagarajan
cs.LGcs.NIarXiv:2609.09786v12026
In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention
Yuhei Fujioka, Daitaro Misawa, Tatsuyoshi Ikenoue +1
cs.LGarXiv:2609.09824v12026
A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging
Clarissa Z. Cooley, Patrick C. McDaniel, Jason P. Stockmann +9
eess.IVphysics.med-pharXiv:2004.13183v12020
Composing Scalable Nonlinear Algebraic Solvers
Peter R. Brune, Matthew G. Knepley, Barry F. Smith +1
math.NAcs.MSarXiv:1607.04254v12016
Quantum circuits for strongly correlated quantum systems
Frank Verstraete, J. Ignacio Cirac, Jose I. Latorre
quant-phcond-mat.str-elcs.DSarXiv:0804.1888v12008
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy, Albert-László Barabási, Rose Yu
cs.LGphysics.data-anstat.MLarXiv:1907.05008v22019
Distributed Power Allocation Strategies for Parallel Relay Networks
Min Chen, Semih Serbetli, Aylin Yener
cs.ITarXiv:0801.0597v12008
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
cs.CVcs.LGcs.NEarXiv:1605.06465v12016
Test Problems in Optimization
Xin-She Yang
math.OCarXiv:1008.0549v12010
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies
Kehan Qi, Hao Yang, Cheng Li +4
eess.IVcs.CVarXiv:1907.07000v22019
Current Challenges and Future Research Areas for Digital Forensic Investigation
David Lillis, Brett Becker, Tadhg O'Sullivan +1
cs.CRcs.CYarXiv:1604.03850v12016
EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding
Muchen Li, Anglin Liu, Xuetian Gao +2
cs.LGcs.MMq-bio.NCarXiv:2609.09728v12026
Capacity-aware back-pressure traffic signal control
Jean Gregoire, Xiangjun Qian, Emilio Frazzoli +2
eess.SYarXiv:1309.6484v32013
Optimized U-Net for Brain Tumor Segmentation
Michał Futrega, Alexandre Milesi, Michal Marcinkiewicz +1
eess.IVcs.CVcs.LGarXiv:2110.03352v22021
Quantum-coherence quantifiers based on the Tsallis relative $α$-entropies
Alexey E. Rastegin
quant-pharXiv:1512.06652v32015
System Design for a Long-Line Quantum Repeater
Rodney Van Meter, Thaddeus D. Ladd, W. J. Munro +1
quant-pharXiv:0705.4128v22007
ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi
Zuhao Zhang, Xu Liu, Kai Wan +3
cs.LGarXiv:2609.09685v12026
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov, Michael Garland
cs.LGcs.CVcs.DCarXiv:1712.02029v22017
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset
Kelly Payette, Priscille de Dumast, Hamza Kebiri +17
eess.IVcs.CVarXiv:2010.15526v42020
Settling: Equilibrium Inference for Non-Convex Validity Sets
Lyes Saad Saoud
cs.LGarXiv:2609.09682v12026
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Jingbo Shang, Meng Qu, Jialu Liu +3
cs.SIcs.LGarXiv:1610.09769v12016
Detailed 2D-3D Joint Representation for Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Han Lu +4
cs.CVcs.LGarXiv:2004.08154v22020
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
Xueying Du, Geng Zheng, Kaixin Wang +9
cs.SEcs.AIarXiv:2406.11147v32024
3HAN: A Deep Neural Network for Fake News Detection
Sneha Singhania, Nigel Fernandez, Shrisha Rao
cs.LGcs.CLcs.SIarXiv:2306.12014v12023
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Matias Valdenegro-Toro, Daniel Saromo
cs.LGcs.CVarXiv:2204.09308v12022
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra, Ayush Tewari, Florian Bernard +4
cs.CVcs.GRcs.LGarXiv:2011.14143v12020
Solving the sampling problem of the Sycamore quantum circuits
Feng Pan, Keyang Chen, Pan Zhang
quant-phphysics.comp-pharXiv:2111.03011v22021
NatGen: Generative pre-training by "Naturalizing" source code
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding +2
cs.PLcs.AIcs.LGarXiv:2206.07585v22022
Multi-scale Attention Network for Single Image Super-Resolution
Yan Wang, Yusen Li, Gang Wang +1
eess.IVcs.CVarXiv:2209.14145v32022
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science
Tianju Xue, Shuheng Liao, Zhengtao Gan +4
cs.MScs.CEarXiv:2212.00964v12022
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
J. Harry Caufield, Harshad Hegde, Vincent Emonet +9
cs.AIcs.LGarXiv:2304.02711v22023
A practical DIRECT-type algorithm for medium-scale black-box global optimization
Linas Stripinis, Remigijus Paulavičius
cs.LGmath.NAarXiv:2609.09796v12026
Augmented LiDAR Simulator for Autonomous Driving
Jin Fang, Dingfu Zhou, Feilong Yan +5
cs.CVarXiv:1811.07112v22018
Privacy-Preserving Split Learning for Federated LLM Fine-Tuning
Heng Jin, Chaoyu Zhang, Hexuan Yu +2
cs.LGarXiv:2609.09794v12026
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
cs.CVcs.AIcs.LGarXiv:1812.02425v22018
Importance of Tuning Hyperparameters of Machine Learning Algorithms
Hilde J. P. Weerts, Andreas C. Mueller, Joaquin Vanschoren
cs.LGstat.MLarXiv:2007.07588v12020
Bayesian Generative Active Deep Learning
Toan Tran, Thanh-Toan Do, Ian Reid +1
cs.LGstat.MLarXiv:1904.11643v12019
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas, Ke Chen
cs.LGcs.AIcs.CVarXiv:2010.08973v12020
3D Neural Scene Representations for Visuomotor Control
Yunzhu Li, Shuang Li, Vincent Sitzmann +2
cs.ROcs.CVcs.LGarXiv:2107.04004v22021
Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity
Aaron Ceross
cs.LGarXiv:2609.09788v12026
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Shuanglin Yan, Hao Tang, Liyan Zhang +1
cs.CVarXiv:2208.14365v22022
A Definition of Continual Reinforcement Learning
David Abel, André Barreto, Benjamin Van Roy +3
cs.LGcs.AIarXiv:2307.11046v22023
Bounds on the Parameters of Locally Recoverable Codes
Itzhak Tamo, Alexander Barg, Alexey Frolov
cs.ITarXiv:1506.07196v22015
Security and Privacy Approaches in Mixed Reality: A Literature Survey
Jaybie A. de Guzman, Kanchana Thilakarathna, Aruna Seneviratne
cs.CRcs.CYcs.HCarXiv:1802.05797v32018
Information Constraints on Auto-Encoding Variational Bayes
Romain Lopez, Jeffrey Regier, Michael I. Jordan +1
cs.LGq-bio.GNstat.MLarXiv:1805.08672v42018

Every paper with a summary

Polyp-SAM: Transfer SAM for Polyp Segmentation

Simulating a perceptron on a quantum computer

Placement of EV Charging Stations --- Balancing Benefits among Multiple Entities

An Experimental Study of Deep Convolutional Features For Iris Recognition

Probabilistic Prediction of Vehicle Semantic Intention and Motion

TempTPI: Informer-Based trajectory prediction for maritime vessels

JuliaReach: a Toolbox for Set-Based Reachability

The Shield that Never Was: Societies with Single-Peaked Preferences are More Open to Manipulation and Control

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

DF26: We Cannot Tell Fake From Real Anymore

SparseDTW: A Novel Approach to Speed up Dynamic Time Warping

Programming with a Differentiable Forth Interpreter

Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes

Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles

From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces

In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention

A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging

Composing Scalable Nonlinear Algebraic Solvers

Quantum circuits for strongly correlated quantum systems

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology

Distributed Power Allocation Strategies for Parallel Relay Networks

Swapout: Learning an ensemble of deep architectures

Test Problems in Optimization

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

Current Challenges and Future Research Areas for Digital Forensic Investigation

EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding

Capacity-aware back-pressure traffic signal control

Optimized U-Net for Brain Tumor Segmentation

Quantum-coherence quantifiers based on the Tsallis relative $α$-entropies

System Design for a Long-Line Quantum Repeater

ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

Settling: Equilibrium Inference for Non-Convex Validity Sets

Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks

Detailed 2D-3D Joint Representation for Human-Object Interaction

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG

3HAN: A Deep Neural Network for Fake News Detection

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Solving the sampling problem of the Sycamore quantum circuits

NatGen: Generative pre-training by "Naturalizing" source code

Multi-scale Attention Network for Single Image Super-Resolution

JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science

Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning

A practical DIRECT-type algorithm for medium-scale black-box global optimization

Augmented LiDAR Simulator for Autonomous Driving

Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

MEAL: Multi-Model Ensemble via Adversarial Learning

Importance of Tuning Hyperparameters of Machine Learning Algorithms

Bayesian Generative Active Deep Learning

Feature Importance Ranking for Deep Learning

3D Neural Scene Representations for Visuomotor Control

Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search

A Definition of Continual Reinforcement Learning

Bounds on the Parameters of Locally Recoverable Codes

Security and Privacy Approaches in Mixed Reality: A Literature Survey

Information Constraints on Auto-Encoding Variational Bayes