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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58,921 to 58,980 of 61,302

Wasted large language models: A life cycle thinking approach
Erik Johannes Husom, Maria Emine Nylund, Ophelia Prillard
cs.CYcs.HCcs.LGarXiv:2608.17055v12026
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin +1
cs.CLcs.LGarXiv:1607.04606v22016
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
cs.CVarXiv:2207.02696v12022
SGDR: Stochastic Gradient Descent with Warm Restarts
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1608.03983v52016
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao, Kashif Rasul, Roland Vollgraf
cs.LGcs.CVstat.MLarXiv:1708.07747v22017
Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images
Arman Zareian Jahromi, Vishnu Bondalakunta, Mohammad Akbar Bin Shah +3
cs.CRcs.LGarXiv:2608.17147v12026
Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks
Feng Qiao, Zhaochong An, Zhexiao Xiong +2
cs.CVarXiv:2606.15534v12026
MAGPIE-Net: Predicting short-duration heavy-rainfall events in station neighborhoods from multitemporal FY-4A AGRI observations
Xiang Lin, Yunying Li, Chengzhi Ye +2
cs.LGarXiv:2608.17753v12026
Second-generation PLINK: rising to the challenge of larger and richer datasets
Christopher C. Chang, Carson C. Chow, Laurent C. A. M. Tellier +3
q-bio.GNstat.COarXiv:1410.4803v12014
Conformal Prediction for Molecular Properties under Label Shift
Hyeonsu Lee, Juyeon Kim, Erkhembayar Jadamba +2
cs.LGarXiv:2608.17678v12026
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, Li Fei-Fei
cs.CVcs.LGarXiv:1603.08155v12016
Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions
Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic +1
cs.DCarXiv:1207.0203v12012
Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement Learning
Hoda Yamani, Yuning Xing, Koen van Rijnsoever +2
cs.LGcs.ROarXiv:2608.17347v12026
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan +5
stat.MLcs.LGcs.NEarXiv:1505.07818v42015
Conditional Generative Adversarial Nets
Mehdi Mirza, Simon Osindero
cs.LGcs.AIcs.CVarXiv:1411.1784v12014
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie, Ross Girshick, Piotr Dollár +2
cs.CVarXiv:1611.05431v22016
TabNSM: Neural Sparse Mixer for Tabular Regression
Ali Eslamian, Qiang Cheng
cs.LGcs.CEarXiv:2608.18026v12026
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal, Zoubin Ghahramani
stat.MLcs.LGarXiv:1506.02142v62015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVarXiv:1406.4729v42014
Deep Learning in Neural Networks: An Overview
Juergen Schmidhuber
cs.NEcs.LGarXiv:1404.7828v42014
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue +5
cs.CVcs.LGcs.NEarXiv:1408.5093v12014
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff, Dmitry Kalenichenko, James Philbin
cs.CVarXiv:1503.03832v32015
Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs
Torben Schiz, Pedro H. J. Nardelli, Henrik Ebel
eess.SYcs.DCcs.LGarXiv:2608.17592v12026
Training-Free Human-in-the-Loop Anomaly Detection via Memory Bank Correction
Ayusha Abbas, Saram Abbas, Kabita Adhikari
cs.LGarXiv:2608.17775v12026
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
cs.LGcs.AIcs.CVarXiv:2105.05233v42021
Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
Heng Li
q-bio.GNarXiv:1303.3997v22013
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal +5
cs.CLcs.LGstat.MLarXiv:1910.13461v12019
Summaries:한국어
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

Every paper with a summary

Wasted large language models: A life cycle thinking approach

Enriching Word Vectors with Subword Information

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

SGDR: Stochastic Gradient Descent with Warm Restarts

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images

Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks

MAGPIE-Net: Predicting short-duration heavy-rainfall events in station neighborhoods from multitemporal FY-4A AGRI observations

Second-generation PLINK: rising to the challenge of larger and richer datasets

Conformal Prediction for Molecular Properties under Label Shift

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions

Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement Learning

Domain-Adversarial Training of Neural Networks

Conditional Generative Adversarial Nets

Aggregated Residual Transformations for Deep Neural Networks

TabNSM: Neural Sparse Mixer for Tabular Regression

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Deep Learning in Neural Networks: An Overview

Caffe: Convolutional Architecture for Fast Feature Embedding

FaceNet: A Unified Embedding for Face Recognition and Clustering

Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs

Training-Free Human-in-the-Loop Anomaly Detection via Memory Bank Correction

Diffusion Models Beat GANs on Image Synthesis

Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

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