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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43,681 to 43,740 of 61,428

Characterizing the Landscape of Open-Source Satellite Software
Jinfeng Wen, Qi Liang, Yuehan Sun +4
cs.SEarXiv:2608.26211v12026
EDGE: Editable Dance Generation From Music
Jonathan Tseng, Rodrigo Castellon, C. Karen Liu
cs.SDcs.CVcs.GRarXiv:2211.10658v22022
Insights into Performance Fitness and Error Metrics for Machine Learning
M. Z. Naser, Amir Alavi
cs.LGphysics.data-anstat.MLarXiv:2006.00887v12020
A Review of automatic differentiation and its efficient implementation
Charles C. Margossian
cs.MSstat.COarXiv:1811.05031v22018
A Survey of Deep Learning Techniques for Weed Detection from Images
A S M Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen +2
cs.CVcs.LGarXiv:2103.01415v12021
Training behavior of deep neural network in frequency domain
Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao
cs.LGcs.AIcs.ITarXiv:1807.01251v62018
An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models
Eric Thrane, Colm Talbot
astro-ph.IMarXiv:1809.02293v92018
Distributed Training using an Intelligent Network
Nihar Shah, Ben Blier
cs.LGcs.DCcs.NIarXiv:2608.26453v12026
Global Second-order Pooling Convolutional Networks
Zilin Gao, Jiangtao Xie, Qilong Wang +1
cs.CVarXiv:1811.12006v22018
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems
Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang +2
eess.SYarXiv:1809.00057v22018
From Security Events to Conflict States: A Three-layer Cyber Defense Scenario Model for Enhanced Cyber Situational Awareness
Miguel Requena Micó, Mario Fernandez-Tarraga, Daniel Díaz-López +2
cs.CRarXiv:2608.27215v12026
Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems
M. Rosvall, C. T. Bergstrom
physics.soc-phcs.SIphysics.comp-pharXiv:1010.0431v22010
Skeleton-based Action Recognition with Convolutional Neural Networks
Chao Li, Qiaoyong Zhong, Di Xie +1
cs.CVarXiv:1704.07595v12017
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang, Hongge Chen, Chaowei Xiao +4
cs.LGstat.MLarXiv:2003.08938v72020
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar
cs.LGstat.MLarXiv:1911.07979v32019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Xingxing Zhang, Furu Wei, Ming Zhou
cs.CLcs.LGarXiv:1905.06566v12019
Super-Resolution from Noisy Data
Emmanuel Candes, Carlos Fernandez-Granda
cs.ITmath.NAarXiv:1211.0290v32012
Privacy Preserving Machine Learning: Threats and Solutions
Mohammad Al-Rubaie, J. Morris Chang
cs.CRcs.LGarXiv:1804.11238v12018
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia +3
cs.LGcs.AIcs.CVarXiv:1909.09656v22019
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian +3
cs.CVcs.LGstat.MLarXiv:2111.05328v12021
Learning Sampling Distributions for Robot Motion Planning
Brian Ichter, James Harrison, Marco Pavone
cs.ROcs.LGarXiv:1709.05448v32017
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang, Lin Yang, Yefeng Zheng
cs.CVarXiv:1802.09655v22018
Graph States for Quantum Secret Sharing
Damian Markham, Barry C. Sanders
quant-pharXiv:0808.1532v32008
Boosting LLM Exploration via Weak-Model Guidance in RLVR
Xingyu Shen, Huishuai Zhang, Peng Li +2
cs.CLarXiv:2608.27420v12026
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Jingchen Fei, Zengbin Wang, Yukun Liu +3
cs.CVarXiv:2608.26632v12026
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Matthias Feurer, Katharina Eggensperger, Stefan Falkner +2
cs.LGstat.MLarXiv:2007.04074v32020
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:1707.03374v22017
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
Tong Qin, Jie Pan, Shaozu Cao +1
cs.CVarXiv:1901.03638v12019
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles +2
cs.CVarXiv:1902.03748v32019
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh +2
cs.CLarXiv:1806.00692v32018
Batch Bayesian Optimization via Local Penalization
Javier González, Zhenwen Dai, Philipp Hennig +1
stat.MLarXiv:1505.08052v42015
Graph limits and exchangeable random graphs
Persi Diaconis, Svante Janson
math.PRmath.COarXiv:0712.2749v12007
Zero-Shot Object Detection
Ankan Bansal, Karan Sikka, Gaurav Sharma +2
cs.CVarXiv:1804.04340v22018
Visual Classification via Description from Large Language Models
Sachit Menon, Carl Vondrick
cs.CVcs.LGarXiv:2210.07183v22022
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang +5
cs.CRcs.LGarXiv:2004.08856v22020
Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact
Mehdi El Krari, Jonathan Smith, Maria Fox
math.OCcs.ROarXiv:2608.27271v12026
Fringe pattern analysis using deep learning
Shijie Feng, Qian Chen, Guohua Gu +5
eess.IVarXiv:1807.02757v12018
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Lei Lin, Zhengbing He, Srinivas Peeta
stat.MLcs.LGarXiv:1712.04997v22017
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang, William Chan, Navdeep Jaitly
cs.CLarXiv:1610.03022v12016
Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signals
Guopeng Li, Yiyang Duan, Yiru Jiao +1
cs.LGcs.ROarXiv:2608.26571v12026
MISO Wireless Communication Systems via Intelligent Reflecting Surfaces
Xianghao Yu, Dongfang Xu, Robert Schober
cs.ITarXiv:1904.12199v12019
The Lean mathematical library
The mathlib Community
cs.LOmath.LOarXiv:1910.09336v22019
Capacity Analysis of One-Bit Quantized MIMO Systems with Transmitter Channel State Information
Jianhua Mo, Robert W. Heath
cs.ITarXiv:1410.7353v32014
Effective Whole-body Pose Estimation with Two-stages Distillation
Zhendong Yang, Ailing Zeng, Chun Yuan +1
cs.CVarXiv:2307.15880v22023
BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models
Jinghan Zhang, Fengran Mo, Zhiyu Chen +3
cs.AIcs.CLcs.HCarXiv:2608.27268v12026
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li, Wangmeng Zuo, Shuhang Gu +2
cs.CVarXiv:1703.10553v22017
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
Vikram Voleti, Chun-Han Yao, Mark Boss +6
cs.CVarXiv:2403.12008v12024
Making Latent Evolution Explicit: Operator-Structured Transitions for World Action Models
Xiaoxiao Lu, Yunlong Dong, Jiahao Shi +1
cs.LGarXiv:2608.27259v12026
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida, Takeru Miyato
stat.MLcs.LGarXiv:1705.10941v12017
Word Representations via Gaussian Embedding
Luke Vilnis, Andrew McCallum
cs.CLcs.LGarXiv:1412.6623v42014
An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces based on a Minimum Variance Unbiased Estimator
Tobias Lindstrøm Jensen, Elisabeth De Carvalho
eess.SParXiv:1909.09440v22019
Exponentially Weighted Moving Average Charts for Detecting Concept Drift
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis +1
stat.MLcs.LGstat.AParXiv:1212.6018v12012
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu, Josh Fromm, Shwetak Patel +1
eess.SPcs.CVeess.IVarXiv:2006.03790v22020
OSNAP: Faster numerical linear algebra algorithms via sparser subspace embeddings
Jelani Nelson, Huy L. Nguyen
cs.DSmath.PRarXiv:1211.1002v12012
Is ChatGPT a Good Recommender? A Preliminary Study
Junling Liu, Chao Liu, Peilin Zhou +3
cs.IRarXiv:2304.10149v32023
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Mandy Guo, Joshua Ainslie, David Uthus +4
cs.CLarXiv:2112.07916v22021
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar, Sidak Pal Singh, Dan Alistarh
cs.LGarXiv:2208.11580v22022
LiveVVT: High-Fidelity Video Virtual Try-On in Real Time
Yushe Cao, Shikun Feng, Ruxiang Duan +4
cs.CVcs.AIarXiv:2608.26714v12026
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee, Laura Smith, Pieter Abbeel
cs.LGcs.AIarXiv:2106.05091v12021
Image and Video Compression with Neural Networks: A Review
Siwei Ma, Xinfeng Zhang, Chuanmin Jia +3
cs.CVarXiv:1904.03567v22019

Every paper with a summary

Characterizing the Landscape of Open-Source Satellite Software

EDGE: Editable Dance Generation From Music

Insights into Performance Fitness and Error Metrics for Machine Learning

A Review of automatic differentiation and its efficient implementation

A Survey of Deep Learning Techniques for Weed Detection from Images

Training behavior of deep neural network in frequency domain

An introduction to Bayesian inference in gravitational-wave astronomy: parameter estimation, model selection, and hierarchical models

Distributed Training using an Intelligent Network

Global Second-order Pooling Convolutional Networks

A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems

From Security Events to Conflict States: A Three-layer Cyber Defense Scenario Model for Enhanced Cyber Situational Awareness

Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems

Skeleton-based Action Recognition with Convolutional Neural Networks

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization

Super-Resolution from Noisy Data

Privacy Preserving Machine Learning: Threats and Solutions

Understanding and Robustifying Differentiable Architecture Search

Data Augmentation Can Improve Robustness

Learning Sampling Distributions for Robot Motion Planning

Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

Graph States for Quantum Secret Sharing

Boosting LLM Exploration via Weak-Model Guidance in RLVR

Who Remains, What Changes: Identity Anchored Composed Gait Retrieval

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

Stress Test Evaluation for Natural Language Inference

Batch Bayesian Optimization via Local Penalization

Graph limits and exchangeable random graphs

Zero-Shot Object Detection

Visual Classification via Description from Large Language Models

Local Differential Privacy based Federated Learning for Internet of Things

Marine Autonomous Vehicle Fleet Scheduling to Maximise Scientific Impact

Fringe pattern analysis using deep learning

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

Very Deep Convolutional Networks for End-to-End Speech Recognition

Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signals

MISO Wireless Communication Systems via Intelligent Reflecting Surfaces

The Lean mathematical library

Capacity Analysis of One-Bit Quantized MIMO Systems with Transmitter Channel State Information

Effective Whole-body Pose Estimation with Two-stages Distillation

BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models

Learning Convolutional Networks for Content-weighted Image Compression

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

Making Latent Evolution Explicit: Operator-Structured Transitions for World Action Models

Spectral Norm Regularization for Improving the Generalizability of Deep Learning

Word Representations via Gaussian Embedding

An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces based on a Minimum Variance Unbiased Estimator

Exponentially Weighted Moving Average Charts for Detecting Concept Drift

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

OSNAP: Faster numerical linear algebra algorithms via sparser subspace embeddings

Is ChatGPT a Good Recommender? A Preliminary Study

LongT5: Efficient Text-To-Text Transformer for Long Sequences

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

LiveVVT: High-Fidelity Video Virtual Try-On in Real Time

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Image and Video Compression with Neural Networks: A Review