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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44,881 to 44,940 of 61,393

Random Feature Attention
Hao Peng, Nikolaos Pappas, Dani Yogatama +3
cs.CLarXiv:2103.02143v22021
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang, Xilie Xu, Bo Han +4
cs.LGstat.MLarXiv:2002.11242v22020
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
Kevin Jamieson, Matthew Malloy, Robert Nowak +1
stat.MLcs.LGarXiv:1312.7308v12013
Learning Natural Language Inference with LSTM
Shuohang Wang, Jing Jiang
cs.CLcs.AIcs.NEarXiv:1512.08849v22015
Quantum theory cannot consistently describe the use of itself
Daniela Frauchiger, Renato Renner
quant-pharXiv:1604.07422v22016
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong +2
cs.LGcs.NEstat.MLarXiv:1811.03760v12018
Thresholding Post-Quantum Signatures
Francesco De Sclavis, Matteo Nardelli, Marco Pedicini
cs.CRarXiv:2608.26792v12026
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Coline Devin, Abhishek Gupta, Trevor Darrell +2
cs.LGcs.ROarXiv:1609.07088v12016
Functional Mechanism: Regression Analysis under Differential Privacy
Jun Zhang, Zhenjie Zhang, Xiaokui Xiao +2
cs.DBarXiv:1208.0219v12012
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva +3
cs.CVarXiv:1803.09179v12018
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
Guhao Feng, Bohang Zhang, Yuntian Gu +3
cs.LGcs.CCcs.CLarXiv:2305.15408v52023
Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2107.10711v12021
Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos +1
cs.CLcs.LGcs.NEarXiv:1606.05464v22016
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
cs.CVcs.AIcs.LGarXiv:2010.14925v42020
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
Kai Zhang, Fujun Luan, Qianqian Wang +2
cs.CVcs.GRarXiv:2104.00674v12021
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
Shihao Wang, Yingfei Liu, Tiancai Wang +2
cs.CVarXiv:2303.11926v22023
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.03761v42020
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey Hinton
cs.LGarXiv:2212.13345v12022
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
Yansong Tang, Dajun Ding, Yongming Rao +5
cs.CVarXiv:1903.02874v12019
CGS-SLAM: Collaborative Gaussian Splatting based SLAM for Multi-Agent Reconstruction
Jean-Daniel de Ambrogi, Aladine Chetouani, Vincent Nguyen +1
cs.CVcs.ROarXiv:2608.26868v12026
Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions
K. T. Schütt, M. Gastegger, A. Tkatchenko +2
physics.chem-phstat.MLarXiv:1906.10033v12019
Traffic flow optimization using a quantum annealer
Florian Neukart, Gabriele Compostella, Christian Seidel +3
quant-phcs.DSarXiv:1708.01625v22017
FMRI Clustering in AFNI: False Positive Rates Redux
Robert W. Cox, Gang Chen, Daniel R. Glen +2
q-bio.QMstat.AParXiv:1702.04845v12017
Summaries:한국어
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu, Jialin Liu, Sicheng Wang +3
cs.CVeess.IVarXiv:1905.05406v12019
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang +5
cs.ROcs.AIcs.LGarXiv:2406.02523v12024
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang, Yao Lu, Linqing Liu +3
cs.CLcs.LGarXiv:1903.12136v12019
G2D: Generative-to-Discriminative Collaborative Inference for Zero-Shot Image Classification
Zehua Hao, Fang Liu, Qinliang Wang +3
cs.CVarXiv:2608.26744v12026
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras, Miika Aittala, Jaakko Lehtinen +3
cs.CVcs.AIcs.LGarXiv:2312.02696v22023
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu, Heqiang Wang
cs.DCcs.LGarXiv:2004.04314v12020
DALEX: explainers for complex predictive models
Przemyslaw Biecek
stat.MLcs.AIcs.LGarXiv:1806.08915v22018
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
Michael Xie, Neal Jean, Marshall Burke +2
cs.CVcs.CYarXiv:1510.00098v22015
micrOMEGAs4.1: two dark matter candidates
G. Belanger, F. Boudjema, A. Pukhov +1
hep-phastro-ph.HEarXiv:1407.6129v22014
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe +1
cs.CVarXiv:1611.01421v32016
The First Release COSMOS Optical and Near-IR Data and Catalog
P. Capak, H. Aussel, M. Ajiki +54
astro-pharXiv:0704.2430v12007
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:1905.13727v32019
Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi +8
cs.CYcs.AIcs.IRarXiv:1903.00780v12019
On identifying codes on oriented graphs
Soura Sena Das, Sagnik Sen
cs.DMmath.COarXiv:2608.26593v12026
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li, Xiaolong Jin, Wei Li +5
cs.AIarXiv:2104.10353v12021
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee, Mayank Rathee, Nishant Kumar +4
cs.CRcs.LGarXiv:2010.06457v12020
Self-Reflective Multi-modal Reasoning for Short-Video Fake News Detection
Pinjie Xu, Yuzhou Yang, Zhikai Tan +4
cs.MMarXiv:2608.26787v12026
Summaries:한국어
Joint Spectrum and Airspace Resource Optimization for Low-altitude Wireless Network
Yafei Guo, Ziye Jia, Lei Zhang +3
eess.SYarXiv:2608.26830v12026
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li +2
cs.CLcs.LGstat.MLarXiv:1809.01496v12018
Machine learning a general purpose interatomic potential for silicon
Albert P. Bartok, James Kermode, Noam Bernstein +1
cond-mat.mtrl-sciarXiv:1805.01568v12018
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal +2
cs.CVcs.AIcs.GRarXiv:2212.02500v32022
Complexity without chaos: Plasticity within random recurrent networks generates robust timing and motor control
Rodrigo Laje, Dean V. Buonomano
nlin.CDcond-mat.dis-nnq-bio.NCarXiv:1210.2104v12012
DEEPCHART: How Far are LLMs from Faithful Data-Science Chart Generation?
Jiahui tang, Kuicai Dong, Dexun Li +7
cs.AIarXiv:2608.26757v12026
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker +1
cs.LGcs.AIstat.MLarXiv:1907.03143v12019
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma, Jian Ren, Long Zhao +3
cs.CVarXiv:2103.05677v12021
Analysis and Observations from the First Amazon Picking Challenge
Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson +7
cs.ROarXiv:1601.05484v32016
On the List-Decodability of Random Linear Codes
Venkatesan Guruswami, Johan Hastad, Swastik Kopparty
cs.ITmath.COarXiv:1001.1386v12010
Algorithm Runtime Prediction: Methods & Evaluation
Frank Hutter, Lin Xu, Holger H. Hoos +1
cs.AIcs.LGcs.PFarXiv:1211.0906v22012
Hadamard Flattening and Gaussian Pooling Sketch for Least Squares with Coordinate-wise Guarantee
Zhao Song, Lichen Zhang
cs.DScs.LGstat.MLarXiv:2608.26552v12026
Uncovering Social Network Sybils in the Wild
Zhi Yang, Christo Wilson, Xiao Wang +3
cs.SIphysics.soc-pharXiv:1106.5321v12011
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Zhikai Chen, Haitao Mao, Hang Li +8
cs.LGcs.AIarXiv:2307.03393v42023
A stable DG-POD reduced-order method for dynamic linear viscoelasticity
Byeong-Chun Shin, Yongseok Jang
math.NAarXiv:2608.26625v12026
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
Michele Tufano, Cody Watson, Gabriele Bavota +3
cs.SEarXiv:1812.08693v22018
PandaGPT: One Model To Instruction-Follow Them All
Yixuan Su, Tian Lan, Huayang Li +3
cs.CLcs.CVarXiv:2305.16355v12023
Integrated step selection analysis: bridging the gap between resource selection and animal movement
Tal Avgar, Jonathan R. Potts, Mark A. Lewis +1
q-bio.QMq-bio.PEarXiv:1512.01614v12015
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell, Joe Benton, Valentin De Bortoli +3
stat.MLcs.LGarXiv:2205.14987v22022
Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpainting
Shuo Li, Mike Davies, Mehrdad Yaghoobi
cs.CVcs.LGarXiv:2608.26812v12026

Every paper with a summary

Random Feature Attention

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger

lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits

Learning Natural Language Inference with LSTM

Quantum theory cannot consistently describe the use of itself

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Thresholding Post-Quantum Signatures

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer

Functional Mechanism: Regression Analysis under Differential Privacy

FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations

Stance Detection with Bidirectional Conditional Encoding

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

GRNet: Gridding Residual Network for Dense Point Cloud Completion

The Forward-Forward Algorithm: Some Preliminary Investigations

COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis

CGS-SLAM: Collaborative Gaussian Splatting based SLAM for Multi-Agent Reconstruction

Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions

Traffic flow optimization using a quantum annealer

FMRI Clustering in AFNI: False Positive Rates Redux

Plug-and-Play Methods Provably Converge with Properly Trained Denoisers

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks

G2D: Generative-to-Discriminative Collaborative Inference for Zero-Shot Image Classification

Analyzing and Improving the Training Dynamics of Diffusion Models

Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective

DALEX: explainers for complex predictive models

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

micrOMEGAs4.1: two dark matter candidates

STDP-based spiking deep convolutional neural networks for object recognition

The First Release COSMOS Optical and Near-IR Data and Catalog

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Fairness in Recommendation Ranking through Pairwise Comparisons

On identifying codes on oriented graphs

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning

CrypTFlow2: Practical 2-Party Secure Inference

Self-Reflective Multi-modal Reasoning for Short-Video Fake News Detection

Joint Spectrum and Airspace Resource Optimization for Low-altitude Wireless Network

Learning Gender-Neutral Word Embeddings

Machine learning a general purpose interatomic potential for silicon

PhysDiff: Physics-Guided Human Motion Diffusion Model

Complexity without chaos: Plasticity within random recurrent networks generates robust timing and motor control

DEEPCHART: How Far are LLMs from Faithful Data-Science Chart Generation?

Diachronic Embedding for Temporal Knowledge Graph Completion

SMIL: Multimodal Learning with Severely Missing Modality

Analysis and Observations from the First Amazon Picking Challenge

On the List-Decodability of Random Linear Codes

Algorithm Runtime Prediction: Methods & Evaluation

Hadamard Flattening and Gaussian Pooling Sketch for Least Squares with Coordinate-wise Guarantee

Uncovering Social Network Sybils in the Wild

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

A stable DG-POD reduced-order method for dynamic linear viscoelasticity

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

PandaGPT: One Model To Instruction-Follow Them All

Integrated step selection analysis: bridging the gap between resource selection and animal movement

A Continuous Time Framework for Discrete Denoising Models

Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image Inpainting