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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58,801 to 58,860 of 61,155

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla
cs.CVcs.LGcs.NEarXiv:1511.00561v32015
End-to-End Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve +3
cs.CVarXiv:2005.12872v32020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros +2
cs.CVcs.GRarXiv:1801.03924v22018
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer +4
cs.CLarXiv:1802.05365v22018
Prism-GRPO: Faster VLA Policy Optimization via Splitting Same-outcome Groups
Zeyun Deng, Yuzhe Lu, Yawei Wang +6
cs.ROcs.LGarXiv:2608.17423v12026
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin +1
cs.LGstat.MLarXiv:1710.09412v22017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszar +8
cs.CVstat.MLarXiv:1609.04802v52016
node2vec: Scalable Feature Learning for Networks
Aditya Grover, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1607.00653v12016
Masked Autoencoders Are Scalable Vision Learners
Kaiming He, Xinlei Chen, Saining Xie +3
cs.CVarXiv:2111.06377v32021
Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and a Tight Univariate Rate
Huibo Xu, Shi Fu, Qixin Zhang +1
stat.MLcs.LGstat.AParXiv:2608.17573v12026
Layer Normalization
Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton
stat.MLcs.LGarXiv:1607.06450v12016
Efficient Resource Optimization for Split Federated Learning
Wei Wei, Xianhao Chen
cs.LGarXiv:2608.17849v12026
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
cs.NEcs.LGstat.MLarXiv:1812.04948v32018
A Survey on Deep Learning in Medical Image Analysis
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi +6
cs.CVarXiv:1702.05747v22017
Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization
Travis Zhang, Christian Belardi, Justin Lovelace +4
cs.LGcs.CVarXiv:2608.18040v12026
Convolutional Neural Networks for Sentence Classification
Yoon Kim
cs.CLcs.NEarXiv:1408.5882v22014
Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi +2
cs.CVarXiv:1612.01105v22016
Fourth-Moment Geometry of Rademacher Sums
Peigan Gao, Jian Qian
cs.LGmath.PRarXiv:2608.17802v12026
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho +1
cs.NEcs.LGarXiv:1412.3555v12014
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, Soumith Chintala
cs.LGcs.CVarXiv:1511.06434v22015
Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule
Cian Higgins, Gerard Carrigan, Pinar Sungu Isiacik +1
cs.LGarXiv:2608.18021v12026
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke +1
cs.CVarXiv:1602.07261v22016
Continuous control with deep reinforcement learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel +5
cs.LGstat.MLarXiv:1509.02971v62015
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
cs.CVeess.IVarXiv:2004.10934v12020
Visualizing and Understanding Convolutional Networks
Matthew D Zeiler, Rob Fergus
cs.CVarXiv:1311.2901v32013
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever +4
cs.CVcs.LGcs.NEarXiv:1312.6199v42013
The Llama 3 Herd of Models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +558
cs.AIcs.CLcs.CVarXiv:2407.21783v32024
Cross-View Correspondence Is a Measurement Intervention: Two-Sided Validation for Agent Evaluation and Credit Assignment
Zhen Zhang, Ahmad Hafez, Amr Alanwar
cs.LGarXiv:2608.17713v12026
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou +2
cs.CVarXiv:1802.02611v32018
UAV Video Deblurring via Motion-Aware Diffusion: A Path to Robust Target Detection
Zhiqiang Hu, Shouren Huang, Masatoshi Ishikawa
cs.CVcs.AIcs.ROarXiv:2608.15259v12026
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers, Iryna Gurevych
cs.CLarXiv:1908.10084v12019
Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
Anh Tuan Nguyen, Viet Anh Nguyen
cs.LGstat.MLarXiv:2608.17343v12026
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou +1
cs.CVarXiv:1611.07004v32016
AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad-CAM
Fahad Ahammed, Omar Faruq Shikdar, Navid Zaman +3
cs.CVcs.LGarXiv:2608.17923v12026
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu +2
cs.CVarXiv:1801.04381v42018
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc V. Le
cs.LGcs.CVstat.MLarXiv:1905.11946v52019
YOLOv3: An Incremental Improvement
Joseph Redmon, Ali Farhadi
cs.CVarXiv:1804.02767v12018
ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution
Duong M. Nguyen, Tuan Nghia Nguyen, Xuan Truong Nguyen
cs.CVcs.AIeess.IVarXiv:2608.15349v12026
TensorFlow: A system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen +19
cs.DCcs.AIarXiv:1605.08695v22016
Fast unfolding of communities in large networks
Vincent D. Blondel, Jean-Loup Guillaume, Renaud Lambiotte +1
physics.soc-phcond-mat.stat-mechcs.CYarXiv:0803.0476v22008
Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1706.02216v42017
GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models
Peizheng Guo, Jianqi Zhang, Xingyu Zhang +4
cs.LGarXiv:2608.17411v12026
Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
Christos Koutsiaris
cs.IRcs.AIcs.CLarXiv:2602.14784v12026
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVcs.AIcs.LGarXiv:1502.01852v12015
From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
Yuri Almeida, Arthur Casals
cs.AIcs.LOarXiv:2608.14567v12026
Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents
Ram Rachum, Yotam Amitai, Bálint Gyevnár +2
cs.LGarXiv:2608.17524v12026
Array Programming with NumPy
Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt +23
cs.MSstat.COarXiv:2006.10256v12020
Understanding the Surprising Generalization Properties of Tabular Foundation Models
Nour Shaheen, Junwei Ma, Alex Labach +3
cs.LGarXiv:2608.17957v12026
Explaining and Harnessing Adversarial Examples
Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy
stat.MLcs.LGarXiv:1412.6572v32014
Auxiliary uncertainty signals for LLM-assisted systematic review screening: a benchmark across eight Cohen drug-class reviews
Arya Rahgozar, Pouria Mortezaagha
cs.CLcs.DLcs.IRarXiv:2608.14551v12026
featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features
Yang Liao, Gordon K Smyth, Wei Shi
q-bio.GNq-bio.QMarXiv:1305.3347v22013
Quantum Computation and Quantum Information
Yazhen Wang
stat.MEquant-pharXiv:1210.0736v12012
Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
Veronika Spieker, Wenqi Huang, Cemre Ariyurek +5
eess.IVcs.CVcs.LGarXiv:2608.18055v22026
GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents
Jaime Yan
cs.AIarXiv:2608.16890v12026
General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
Mattis thor Straten, Yannick Wolker, Steffen Strohm +3
cs.LGarXiv:2608.17440v12026
Debate Training Reduces Reward Hacking in RLAIF
Zachary Kenton, Lili Janzer, Rory Greig +8
cs.LGarXiv:2608.17776v12026
Advancing Health Equity through Multi-Level Fairness in Health Informatics
Nick Souligne, Vignesh Subbian
cs.CYcs.LGarXiv:2608.16902v12026
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. Brendan McMahan, Eider Moore, Daniel Ramage +2
cs.LGarXiv:1602.05629v42016
Which CS1 Students Will Fail? Identifying Digital Markers from Learning Analytics in Computer Systems and Architecture Using Weighted Academic Momentum and Interaction Logs
Lighton Phiri, Mutune Chaibela, Ivy Chisha +3
cs.CYcs.LGarXiv:2608.16914v12026

Every paper with a summary

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

End-to-End Object Detection with Transformers

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Deep contextualized word representations

Prism-GRPO: Faster VLA Policy Optimization via Splitting Same-outcome Groups

mixup: Beyond Empirical Risk Minimization

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

node2vec: Scalable Feature Learning for Networks

Masked Autoencoders Are Scalable Vision Learners

Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and a Tight Univariate Rate

Layer Normalization

Efficient Resource Optimization for Split Federated Learning

A Style-Based Generator Architecture for Generative Adversarial Networks

A Survey on Deep Learning in Medical Image Analysis

Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian Optimization

Convolutional Neural Networks for Sentence Classification

Pyramid Scene Parsing Network

Fourth-Moment Geometry of Rademacher Sums

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule

Towards Deep Learning Models Resistant to Adversarial Attacks

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Continuous control with deep reinforcement learning

YOLOv4: Optimal Speed and Accuracy of Object Detection

Visualizing and Understanding Convolutional Networks

Intriguing properties of neural networks

The Llama 3 Herd of Models

Cross-View Correspondence Is a Measurement Intervention: Two-Sided Validation for Agent Evaluation and Credit Assignment

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

UAV Video Deblurring via Motion-Aware Diffusion: A Path to Robust Target Detection

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

Image-to-Image Translation with Conditional Adversarial Networks

AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad-CAM

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

YOLOv3: An Incremental Improvement

ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution

TensorFlow: A system for large-scale machine learning

Fast unfolding of communities in large networks

Inductive Representation Learning on Large Graphs

GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language Models

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change

Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents

Array Programming with NumPy

Understanding the Surprising Generalization Properties of Tabular Foundation Models

Explaining and Harnessing Adversarial Examples

Auxiliary uncertainty signals for LLM-assisted systematic review screening: a benchmark across eight Cohen drug-class reviews

featureCounts: An efficient general-purpose program for assigning sequence reads to genomic features

Quantum Computation and Quantum Information

Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents

General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting

Debate Training Reduces Reward Hacking in RLAIF

Advancing Health Equity through Multi-Level Fairness in Health Informatics

Communication-Efficient Learning of Deep Networks from Decentralized Data

Which CS1 Students Will Fail? Identifying Digital Markers from Learning Analytics in Computer Systems and Architecture Using Weighted Academic Momentum and Interaction Logs