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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44,101 to 44,160 of 61,100

FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le, Loïc Vial, Jibril Frej +7
cs.CLcs.LGarXiv:1912.05372v42019
Multi-Label Prediction via Compressed Sensing
Daniel Hsu, Sham M. Kakade, John Langford +1
cs.LGarXiv:0902.1284v22009
Inductive Correlation Clustering with Graph Neural Networks
Francesco Paolo Nerini, Francesco Bonchi, Arijit Khan +1
cs.LGcs.DSarXiv:2608.27153v12026
Compute Trends Across Three Eras of Machine Learning
Jaime Sevilla, Lennart Heim, Anson Ho +3
cs.LGcs.AIcs.CYarXiv:2202.05924v22022
The Hubbard model: A computational perspective
Mingpu Qin, Thomas Schäfer, Sabine Andergassen +2
cond-mat.str-elarXiv:2104.00064v12021
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad, Amirhossein Kazerouni, Moein Heidari +6
cs.CVarXiv:2301.03505v32023
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou +5
cs.CVarXiv:1805.02798v62018
Virtual iEEG from Scalp EEG: Charting the Landscape of Source Imaging, Intracranial Inference and Reconstruction
Dongyi He, Xiangkai Wang, Hongjie Yan +3
cs.CVarXiv:2608.26998v12026
Cognitive computational neuroscience
Nikolaus Kriegeskorte, Pamela K. Douglas
q-bio.NCarXiv:1807.11819v12018
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed +3
cs.CVarXiv:2212.04497v32022
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
Haşim Sak, Andrew Senior, Kanishka Rao +1
cs.CLcs.LGcs.NEarXiv:1507.06947v12015
Some Improvements on Deep Convolutional Neural Network Based Image Classification
Andrew G. Howard
cs.CVarXiv:1312.5402v12013
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters
Firoj Alam, Ferda Ofli, Muhammad Imran
cs.SIcs.CYarXiv:1805.00713v12018
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Chloë Brown, Jagmohan Chauhan, Andreas Grammenos +6
cs.SDcs.LGeess.ASarXiv:2006.05919v32020
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng, Jesse Michael Han, Stanislas Polu
cs.AIcs.FLcs.LGarXiv:2109.00110v22021
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus, Feng Liu
cs.CVarXiv:1803.10967v12018
Unified Concept Editing in Diffusion Models
Rohit Gandikota, Hadas Orgad, Yonatan Belinkov +2
cs.CVcs.LGarXiv:2308.14761v22023
Edit Distance Cannot Be Computed in Strongly Subquadratic Time (unless SETH is false)
Arturs Backurs, Piotr Indyk
cs.CCcs.DSarXiv:1412.0348v42014
Bochner Stability for B-stable DIRK Schemes
Anthony E. Ramirez, Abner J. Salgado
math.NAarXiv:2608.27210v12026
A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms and Open Problems
Zesong Fei, Bin Li, Shaoshi Yang +3
cs.NIarXiv:1609.04069v12016
Twelve Quick Tips for Managing IT Disasters in Small Research Software Teams
Greg Wilson
cs.SEarXiv:2608.27196v12026
The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science case and survey design
M. Lacy, S. A. Baum, C. J. Chandler +75
astro-ph.IMastro-ph.GAastro-ph.HEarXiv:1907.01981v32019
A Review of Speaker Diarization: Recent Advances with Deep Learning
Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis +3
eess.AScs.CLcs.SDarXiv:2101.09624v42021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng, Or Litany, Yueqi Duan +3
cs.CVarXiv:2104.12229v12021
A Scalable Bootstrap for Massive Data
Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar +1
stat.MEstat.COstat.MLarXiv:1112.5016v22011
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Junyi Zhang, Charles Herrmann, Junhwa Hur +5
cs.CVarXiv:2410.03825v22024
End-to-End Variational Networks for Accelerated MRI Reconstruction
Anuroop Sriram, Jure Zbontar, Tullie Murrell +5
eess.IVcs.CVarXiv:2004.06688v22020
Quantum Tomography via Compressed Sensing: Error Bounds, Sample Complexity, and Efficient Estimators
Steven T. Flammia, David Gross, Yi-Kai Liu +1
quant-pharXiv:1205.2300v22012
Reasoning about In-Context Samples for Machine-Translation
Maxime Bouthors, Josep Crego, François Yvon
cs.CLarXiv:2608.27036v12026
Learning in Implicit Generative Models
Shakir Mohamed, Balaji Lakshminarayanan
stat.MLcs.LGstat.COarXiv:1610.03483v42016
ST-MoE: Designing Stable and Transferable Sparse Expert Models
Barret Zoph, Irwan Bello, Sameer Kumar +5
cs.CLcs.LGarXiv:2202.08906v22022
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Dan Xu, Elisa Ricci, Wanli Ouyang +2
cs.CVarXiv:1704.02157v12017
Neural networks for post-processing ensemble weather forecasts
Stephan Rasp, Sebastian Lerch
stat.MLcs.LGphysics.ao-pharXiv:1805.09091v12018
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen, Neel Jain, John Kirchenbauer +3
cs.LGcs.CLarXiv:2302.03668v22023
FOSTER: Feature Boosting and Compression for Class-Incremental Learning
Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye +1
cs.CVcs.LGarXiv:2204.04662v22022
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Yuanzhi Zhu +7
cs.CVarXiv:2303.06840v22023
Fruit recognition from images using deep learning
Horea Mureşan, Mihai Oltean
cs.CVarXiv:1712.00580v102017
X-Armed Bandits
Sébastien Bubeck, Rémi Munos, Gilles Stoltz +1
cs.LGeess.SYmath.OCarXiv:1001.4475v22010
QH-GEM: Quantum-Hydrodynamic Generative Modeling
Harbir Antil, Alex Kaltenbach, Sarswati Shah
math.NAmath-phmath.OCarXiv:2608.27216v12026
Sequential Neural Models with Stochastic Layers
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet +1
stat.MLcs.LGarXiv:1605.07571v22016
Learning Distilled Collaboration Graph for Multi-Agent Perception
Yiming Li, Shunli Ren, Pengxiang Wu +3
cs.CVcs.ROarXiv:2111.00643v22021
SSH: Single Stage Headless Face Detector
Mahyar Najibi, Pouya Samangouei, Rama Chellappa +1
cs.CVarXiv:1708.03979v32017
A survey of dimensionality reduction techniques
C. O. S. Sorzano, J. Vargas, A. Pascual Montano
stat.MLcs.LGq-bio.QMarXiv:1403.2877v12014
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
Yipeng Hu, Marc Modat, Eli Gibson +11
cs.CVcs.AIcs.LGarXiv:1807.03361v12018
Your Voice Cloning System is Secretly a Voice Anonymizer
Romolo Muletta, Felix Matthias Saaro, Mark Cieliebak +1
cs.CLarXiv:2608.27360v12026
Deep-Plant: Plant Identification with convolutional neural networks
Sue Han Lee, Chee Seng Chan, Paul Wilkin +1
cs.CVcs.AIcs.NEarXiv:1506.08425v12015
Deep representation learning for human motion prediction and classification
Judith Bütepage, Michael Black, Danica Kragic +1
cs.CVarXiv:1702.07486v22017
Towards a Neural Statistician
Harrison Edwards, Amos Storkey
stat.MLcs.LGarXiv:1606.02185v22016
Is feature selection secure against training data poisoning?
Huang Xiao, Battista Biggio, Gavin Brown +3
cs.LGcs.CRcs.GTarXiv:1804.07933v12018
Scale-uniform inverse inequalities for scaled kernel spaces
Davoud Mirzaei
math.NAmath.APmath.FAarXiv:2608.26945v12026
A Simple Design of IRS-NOMA Transmission
Z. Ding, H. V. Poor
cs.ITeess.SParXiv:1907.09918v22019
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang +7
cs.CVarXiv:2311.06214v22023
Feature Transformation Enhanced Jacobi Polynomial Graph Filtering for Graph Anomaly Detection
Xiang Wang, Zhijun Cheng, Zhenyu Meng
cs.AIarXiv:2608.27144v12026
Deep Learning of Vortex Induced Vibrations
Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou +1
physics.flu-dyncs.CEcs.LGarXiv:1808.08952v12018
Training of photonic neural networks through in situ backpropagation
Tyler W. Hughes, Momchil Minkov, Yu Shi +1
physics.opticscs.LGcs.NEarXiv:1805.09943v12018
Exploring Normativity in Stable Diffusion: Insights for XAI in the Arts
Michelle Dutoit, Baptiste Caramiaux
cs.HCarXiv:2608.26980v12026
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Torsten Sattler, Qunjie Zhou, Marc Pollefeys +1
cs.CVarXiv:1903.07504v12019
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan
cs.CYcs.LGeess.SParXiv:2007.03051v12020
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Hui Li, Tianyang Xu, Xiao-Jun Wu +2
cs.CVarXiv:2304.05172v22023
Quantum coherence and geometric quantum discord
Ming-Liang Hu, Xueyuan Hu, Jie-Ci Wang +3
quant-pharXiv:1703.01852v32017

Every paper with a summary

FlauBERT: Unsupervised Language Model Pre-training for French

Multi-Label Prediction via Compressed Sensing

Inductive Correlation Clustering with Graph Neural Networks

Compute Trends Across Three Eras of Machine Learning

The Hubbard model: A computational perspective

Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review

Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Virtual iEEG from Scalp EEG: Charting the Landscape of Source Imaging, Intracranial Inference and Reconstruction

Cognitive computational neuroscience

UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

Some Improvements on Deep Convolutional Neural Network Based Image Classification

CrisisMMD: Multimodal Twitter Datasets from Natural Disasters

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Context-aware Synthesis for Video Frame Interpolation

Unified Concept Editing in Diffusion Models

Edit Distance Cannot Be Computed in Strongly Subquadratic Time (unless SETH is false)

Bochner Stability for B-stable DIRK Schemes

A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms and Open Problems

Twelve Quick Tips for Managing IT Disasters in Small Research Software Teams

The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science case and survey design

A Review of Speaker Diarization: Recent Advances with Deep Learning

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

A Scalable Bootstrap for Massive Data

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

End-to-End Variational Networks for Accelerated MRI Reconstruction

Quantum Tomography via Compressed Sensing: Error Bounds, Sample Complexity, and Efficient Estimators

Reasoning about In-Context Samples for Machine-Translation

Learning in Implicit Generative Models

ST-MoE: Designing Stable and Transferable Sparse Expert Models

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

Neural networks for post-processing ensemble weather forecasts

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery

FOSTER: Feature Boosting and Compression for Class-Incremental Learning

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Fruit recognition from images using deep learning

X-Armed Bandits

QH-GEM: Quantum-Hydrodynamic Generative Modeling

Sequential Neural Models with Stochastic Layers

Learning Distilled Collaboration Graph for Multi-Agent Perception

SSH: Single Stage Headless Face Detector

A survey of dimensionality reduction techniques

Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

Your Voice Cloning System is Secretly a Voice Anonymizer

Deep-Plant: Plant Identification with convolutional neural networks

Deep representation learning for human motion prediction and classification

Towards a Neural Statistician

Is feature selection secure against training data poisoning?

Scale-uniform inverse inequalities for scaled kernel spaces

A Simple Design of IRS-NOMA Transmission

Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Feature Transformation Enhanced Jacobi Polynomial Graph Filtering for Graph Anomaly Detection

Deep Learning of Vortex Induced Vibrations

Training of photonic neural networks through in situ backpropagation

Exploring Normativity in Stable Diffusion: Insights for XAI in the Arts

Understanding the Limitations of CNN-based Absolute Camera Pose Regression

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images

Quantum coherence and geometric quantum discord