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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30,421 to 30,480 of 61,244

Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
cs.CVcs.AIcs.LGarXiv:1801.08092v32018
Hybrid Semantic Context-Enhanced Ensemble Learning for Wind Power Ramp-Event Forecasting and Uncertainty-Aware Evaluation
Momina Liaqat Ali, Muhammad Abid, Muhammad Abdullah +1
cs.LGarXiv:2608.29024v12026
Joint Enhancement and Denoising Method via Sequential Decomposition
Xutong Ren, Mading Li, Wen-Huang Cheng +1
cs.CVarXiv:1804.08468v32018
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Dahyun Kim, Chanjun Park, Sanghoon Kim +15
cs.CLcs.AIcs.LGarXiv:2312.15166v32023
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective
Jingwei Sun, Ang Li, Binghui Wang +3
cs.LGcs.AIcs.CVarXiv:2012.06043v12020
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao +2
cs.CVcs.LGeess.IVarXiv:1910.06809v32019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe, Marco Fraccaro, Valentin Liévin +1
stat.MLcs.CVcs.LGarXiv:1902.02102v32019
Summary Transfer: Exemplar-based Subset Selection for Video Summarization
Ke Zhang, Wei-Lun Chao, Fei Sha +1
cs.CVarXiv:1603.03369v32016
Smoothing proximal gradient method for general structured sparse regression
Xi Chen, Qihang Lin, Seyoung Kim +2
stat.MLcs.LGmath.OCarXiv:1005.4717v42010
PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment
Avishag Nevo, Tamir Hazan
cs.LGstat.MLarXiv:2608.29107v12026
Deep learning in ultrasound imaging
Ruud JG van Sloun, Regev Cohen, Yonina C Eldar
eess.SPcs.LGeess.IVarXiv:1907.02994v22019
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang, Hangfeng He, Qi Long +1
cs.LGcs.CVmath.OCarXiv:2101.12699v32021
Filtering Variational Objectives
Chris J. Maddison, Dieterich Lawson, George Tucker +5
cs.LGcs.AIcs.NEarXiv:1705.09279v32017
Manifold-Constrained PET Reconstruction with Learned Flow-Matching Priors
Hengjia Ran, Jie Luo, Yutao Zhu +3
eess.IVarXiv:2608.29158v12026
Generic Trace Semantics via Coinduction
Ichiro Hasuo, Bart Jacobs, Ana Sokolova
cs.LOarXiv:0710.2505v22007
AGRICAM: A Track-Mounted Crop Pollination Monitoring Robot
Malika Nisal Ratnayake, Adel N. Toosi, James Cook +2
cs.CVcs.AIcs.ROarXiv:2608.29237v12026
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Jinsong Chen, Kaiyuan Gao, Gaichao Li +1
cs.LGcs.AIarXiv:2206.04910v42022
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
Dongxu Li, Junnan Li, Hongdong Li +2
cs.CVarXiv:2112.09583v22021
A Low-Complexity Improved Successive Cancellation Decoder for Polar Codes
Orion Afisiadis, Alexios Balatsoukas-Stimming, Andreas Burg
cs.ITarXiv:1412.5501v12014
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park, Youngkyu Hong, Byeongho Heo +2
cs.CVcs.AIarXiv:2112.00412v32021
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis +3
cs.CLcs.IRarXiv:2204.10628v12022
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
Steven L. Brunton, J. Nathan Kutz, Krithika Manohar +9
cs.LGeess.SPmath.OCarXiv:2008.10740v12020
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Vitaly Feldman, Tomer Koren, Kunal Talwar
cs.LGcs.CRmath.OCarXiv:2005.04763v12020
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer
Haoran Zhou, Yun Cao, Wenqing Chu +4
cs.CVarXiv:2207.10315v12022
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
Hang Zhou, Junqing Yu, Wei Yang
cs.CVarXiv:2302.05160v12023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Utsav Sadana, Abhilash Chenreddy, Erick Delage +3
math.OCcs.LGarXiv:2306.10374v22023
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang, Rui Meng, Xinyi Yang +3
cs.CVcs.AIcs.CLarXiv:2410.05160v32024
On the Path to 6G: Embracing the Next Wave of Low Earth Orbit Satellite Access
Xingqin Lin, Stefan Cioni, Gilles Charbit +3
cs.NIarXiv:2104.10533v52021
Revolutionizing Turn-by-Turn Navigation with Cloud-Edge Deep Learning
Yiming Yang, Hao Fu, Fanxiang Zeng +3
cs.AIarXiv:2608.29073v12026
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ulku, Erdem Akagunduz
cs.CVarXiv:1912.10230v52019
NVE: A Separability and Coverage-Aware Internal Validation Metric for Biclustering
Paritosh Tiwari, I Navin Kumar, James C. Bezdek +1
cs.LGarXiv:2608.29045v12026
Identification of block-oriented nonlinear systems starting from linear approximations: A survey
Maarten Schoukens, Koen Tiels
eess.SYarXiv:1607.01217v32016
Exploring large scale public medical image datasets
Luke Oakden-Rayner
eess.IVcs.CVcs.LGarXiv:1907.12720v12019
Immersed boundary model of aortic heart valve dynamics with physiological driving and loading conditions
Boyce E. Griffith
cs.CEarXiv:1703.09265v12017
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
Zheng Lin, Guangyu Zhu, Yiqin Deng +4
cs.LGarXiv:2303.15991v42023
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
Hongwei Tang, Jean Rabault, Alexander Kuhnle +2
physics.flu-dynarXiv:2004.12417v12020
TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback
Fangyuan Zhang, Dong Yu, Pengyuan Liu
cs.AIarXiv:2608.28610v12026
DSGN: Deep Stereo Geometry Network for 3D Object Detection
Yilun Chen, Shu Liu, Xiaoyong Shen +1
cs.CVarXiv:2001.03398v32020
PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN
Ivan Diliso, Nicola Fanizzi, Claudia d'Amato
cs.AIarXiv:2608.30652v12026
BookSum: A Collection of Datasets for Long-form Narrative Summarization
Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal +2
cs.CLarXiv:2105.08209v22021
Paper Pilot: A Human-in-the-Loop Expert System for Evidence-Traceable Scientific Manuscript Generation in Applied Sciences
Nidhi Jha, Siddharth Chaudhary, Ajinkya Kulkarni
cs.AIarXiv:2608.28596v12026
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Shayne Longpre, Yi Lu, Joachim Daiber
cs.CLarXiv:2007.15207v22020
Generalization Ability of MOS Prediction Networks
Erica Cooper, Wen-Chin Huang, Tomoki Toda +1
eess.ASarXiv:2110.02635v32021
From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction
Daniel Kang, Michelle Hu, Soorya Ram Shimgekar +12
cs.AIarXiv:2608.28974v12026
Facial Emotion Recognition: State of the Art Performance on FER2013
Yousif Khaireddin, Zhuofa Chen
cs.CVcs.AIcs.LGarXiv:2105.03588v12021
CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosis
Qi Peng, Yi Cai, Changmeng Zheng +3
cs.AIarXiv:2608.28599v12026
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover, Eric Wang, Aaron Zweig +1
stat.MLcs.LGcs.NEarXiv:1903.08850v22019
WoE Wrote It? Watermarking Mixture-of-Experts LLMs for Black-Box Text Provenance
Jona te Lintelo, Lichao Wu, Stjepan Picek
cs.CRarXiv:2608.29151v12026
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu, Wenkai Xu, Jie Lu +3
stat.MLcs.LGstat.MEarXiv:2002.09116v32020
Leveraging Generative AI to Design Accessible Interactive Visualizations for Undergraduate Mathematics: A Six-Phase Workflow
Mahesh Sunkula, Kuan-Hua Chen
cs.AIarXiv:2608.28601v12026
Reviving our data foundations is the most disruptive step to data maturity
Valentina Carapella, Ernesto Jimenez-Ruiz
cs.AIarXiv:2608.29368v12026
Ranking the spreading influence in complex networks
Jian-Guo Liu, Zhuo-Ming Ren, Qiang Guo
physics.soc-phcs.SIarXiv:1408.4649v12014
Competition and cooperation among different punishing strategies in the spatial public goods game
Xiaojie Chen, Attila Szolnoki, Matjaz Perc
physics.soc-phcs.GTq-bio.PEarXiv:1508.03325v12015
DIRHB -- a relativistic self-consistent mean-field framework for atomic nuclei
T. Niksic, N. Paar, D. Vretenar +1
nucl-tharXiv:1403.4039v12014
Machine Learning Topological Invariants with Neural Networks
Pengfei Zhang, Huitao Shen, Hui Zhai
cond-mat.mes-hallcond-mat.dis-nncond-mat.str-elarXiv:1708.09401v32017
A Simplified Analysis of the Good-Bad $3/2$-Approximation Algorithm for Some Minimum-Cost Graph Problems
Shayan Ranjbarzadeh, David P. Williamson, Hannane Yaghoubizade
cs.DScs.DMarXiv:2608.29274v12026
Absence of influential spreaders in rumor dynamics
Javier Borge-Holthoefer, Yamir Moreno
physics.soc-phcs.SIarXiv:1112.2239v12011
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Shaoxiong Ji, Shirui Pan, Xue Li +3
cs.CYcs.AIcs.CLarXiv:1910.12611v42019
Hyper3-CLIP: Hierarchy-Conditioned Hyperbolic Vision-Language Training
Matin Mahmood, Antonio Rueda-Toicen, Mohamed ElBassat +3
cs.CVcs.AIarXiv:2608.29313v12026
Perspectives on Machine Learning-augmented Reynolds-averaged and Large Eddy Simulation Models of Turbulence
Karthik Duraisamy
physics.flu-dynarXiv:2009.10675v32020

Every paper with a summary

Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations

Hybrid Semantic Context-Enhanced Ensemble Learning for Wind Power Ramp-Event Forecasting and Uncertainty-Aware Evaluation

Joint Enhancement and Denoising Method via Sequential Decomposition

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

Summary Transfer: Exemplar-based Subset Selection for Video Summarization

Smoothing proximal gradient method for general structured sparse regression

PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment

Deep learning in ultrasound imaging

Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training

Filtering Variational Objectives

Manifold-Constrained PET Reconstruction with Learned Flow-Matching Priors

Generic Trace Semantics via Coinduction

AGRICAM: A Track-Mounted Crop Pollination Monitoring Robot

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Align and Prompt: Video-and-Language Pre-training with Entity Prompts

A Low-Complexity Improved Successive Cancellation Decoder for Polar Codes

The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification

Autoregressive Search Engines: Generating Substrings as Document Identifiers

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning

Private Stochastic Convex Optimization: Optimal Rates in Linear Time

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

On the Path to 6G: Embracing the Next Wave of Low Earth Orbit Satellite Access

Revolutionizing Turn-by-Turn Navigation with Cloud-Edge Deep Learning

A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images

NVE: A Separability and Coverage-Aware Internal Validation Metric for Biclustering

Identification of block-oriented nonlinear systems starting from linear approximations: A survey

Exploring large scale public medical image datasets

Immersed boundary model of aortic heart valve dynamics with physiological driving and loading conditions

Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks

Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback

DSGN: Deep Stereo Geometry Network for 3D Object Detection

PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN

BookSum: A Collection of Datasets for Long-form Narrative Summarization

Paper Pilot: A Human-in-the-Loop Expert System for Evidence-Traceable Scientific Manuscript Generation in Applied Sciences

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Generalization Ability of MOS Prediction Networks

From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction

Facial Emotion Recognition: State of the Art Performance on FER2013

CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosis

Stochastic Optimization of Sorting Networks via Continuous Relaxations

WoE Wrote It? Watermarking Mixture-of-Experts LLMs for Black-Box Text Provenance

Learning Deep Kernels for Non-Parametric Two-Sample Tests

Leveraging Generative AI to Design Accessible Interactive Visualizations for Undergraduate Mathematics: A Six-Phase Workflow

Reviving our data foundations is the most disruptive step to data maturity

Ranking the spreading influence in complex networks

Competition and cooperation among different punishing strategies in the spatial public goods game

DIRHB -- a relativistic self-consistent mean-field framework for atomic nuclei

Machine Learning Topological Invariants with Neural Networks

A Simplified Analysis of the Good-Bad $3/2$-Approximation Algorithm for Some Minimum-Cost Graph Problems

Absence of influential spreaders in rumor dynamics

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

Hyper3-CLIP: Hierarchy-Conditioned Hyperbolic Vision-Language Training

Perspectives on Machine Learning-augmented Reynolds-averaged and Large Eddy Simulation Models of Turbulence