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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44,341 to 44,400 of 61,338

Robust Kernel Density Estimation
JooSeuk Kim, Clayton D. Scott
stat.MLcs.LGstat.MEarXiv:1107.3133v22011
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos +2
cs.CVarXiv:1511.09439v22015
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin, Nicholas Carlini, Ian Goodfellow +2
eess.AScs.LGcs.SDarXiv:1903.10346v22019
High-order stabilized matrix-free simulation of rotating mixing devices using the Mortar Element Method
B. Campos, P. Munch, V. O. Ferreira +3
physics.flu-dynmath.NAarXiv:2608.27423v12026
One-bit compressed sensing by linear programming
Yaniv Plan, Roman Vershynin
cs.ITmath.PRarXiv:1109.4299v52011
Fairness Testing: Testing Software for Discrimination
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
cs.SEcs.AIcs.CYarXiv:1709.03221v12017
Blind Deconvolution using Convex Programming
Ali Ahmed, Benjamin Recht, Justin Romberg
cs.ITarXiv:1211.5608v32012
Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks
Qiming Zhu, Zeliang Liu, Jinhui Yan
cs.CEcs.LGphysics.app-pharXiv:2008.13547v22020
Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions
Albert Y. S. Lam, Yiu-Wing Leung, Xiaowen Chu
eess.SYmath.OCarXiv:1310.6925v32013
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Zhiyong Cui, Ruimin Ke, Ziyuan Pu +1
cs.LGeess.SPstat.MLarXiv:2005.11627v12020
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani +1
q-bio.PEcs.LGarXiv:2007.12261v12020
Experience Grounds Language
Yonatan Bisk, Ari Holtzman, Jesse Thomason +9
cs.CLcs.AIcs.LGarXiv:2004.10151v32020
Disjoint and nearly disjoint sums of matrix multiplication tensors and their centroids
Martin Kassabov, J. M. Landsberg, Victor Souza +1
math.AGcs.CCmath.ACarXiv:2608.27434v12026
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova, Aaron Roth
cs.LGcs.DScs.GTarXiv:1810.08810v12018
Serverless Computing: One Step Forward, Two Steps Back
Joseph M. Hellerstein, Jose Faleiro, Joseph E. Gonzalez +4
cs.DCcs.DBarXiv:1812.03651v12018
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:1910.12574v12019
Consensus-based approach to peer-to-peer electricity markets with product differentiation
Etienne Sorin, Lucien Bobo, Pierre Pinson
eess.SYstat.AParXiv:1804.03521v22018
Deep Kalman Filters
Rahul G. Krishnan, Uri Shalit, David Sontag
stat.MLcs.LGarXiv:1511.05121v22015
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu +1
cs.CVarXiv:1604.04994v22016
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

Every paper with a summary

Robust Kernel Density Estimation

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition

High-order stabilized matrix-free simulation of rotating mixing devices using the Mortar Element Method

One-bit compressed sensing by linear programming

Fairness Testing: Testing Software for Discrimination

Blind Deconvolution using Convex Programming

Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Experience Grounds Language

Disjoint and nearly disjoint sums of matrix multiplication tensors and their centroids

The Frontiers of Fairness in Machine Learning

Serverless Computing: One Step Forward, Two Steps Back

A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media

Consensus-based approach to peer-to-peer electricity markets with product differentiation

Deep Kalman Filters

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

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