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.

Search paper metadata (including unsummarized papers)

57,061 to 57,120 of 61,393

Federated Learning for Mobile Keyboard Prediction
Andrew Hard, Kanishka Rao, Rajiv Mathews +6
cs.CLarXiv:1811.03604v22018
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
Ali Narin, Ceren Kaya, Ziynet Pamuk
eess.IVcs.CVcs.LGarXiv:2003.10849v32020
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen, Ari Seff, Alain Kornhauser +1
cs.CVarXiv:1505.00256v32015
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper, Ozan Oktay, Michiel Schaap +4
cs.CVarXiv:1808.08114v22018
Poisoning Attacks against Support Vector Machines
Battista Biggio, Blaine Nelson, Pavel Laskov
cs.LGcs.CRstat.MLarXiv:1206.6389v32012
Constrained Efficient Global Optimization of Expensive Black-box Functions
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic +1
math.OCarXiv:2211.00162v42022
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
Yifu Zhang, Chunyu Wang, Xinggang Wang +2
cs.CVarXiv:2004.01888v62020
Analyzing Learned Molecular Representations for Property Prediction
Kevin Yang, Kyle Swanson, Wengong Jin +12
cs.LGstat.MLarXiv:1904.01561v52019
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian, Christoph H. Lampert, Bernt Schiele +1
cs.CVarXiv:1707.00600v42017
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
cs.SEcs.AIarXiv:2302.11382v12023
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham, Martin Engelcke, Laurens van der Maaten
cs.CVarXiv:1711.10275v12017
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal
cs.DCarXiv:0808.3558v12008
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick, Hinrich Schütze
cs.CLarXiv:2001.07676v32020
Graph Signal Processing: Overview, Challenges and Applications
Antonio Ortega, Pascal Frossard, Jelena Kovačević +2
eess.SParXiv:1712.00468v22017
Strategies for Pre-training Graph Neural Networks
Weihua Hu, Bowen Liu, Joseph Gomes +4
cs.LGstat.MLarXiv:1905.12265v32019
Fast Inference from Transformers via Speculative Decoding
Yaniv Leviathan, Matan Kalman, Yossi Matias
cs.LGcs.CLarXiv:2211.17192v22022
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie, Zheng Zhang, Yue Cao +5
cs.CVarXiv:2111.09886v22021
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou, Nathanael Schärli, Le Hou +8
cs.AIcs.CLarXiv:2205.10625v32022
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
Han Wang, Linfeng Zhang, Jiequn Han +1
physics.comp-phcs.LGphysics.chem-pharXiv:1712.03641v22017
On the Continuity of Rotation Representations in Neural Networks
Yi Zhou, Connelly Barnes, Jingwan Lu +2
cs.LGstat.MLarXiv:1812.07035v42018
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, Ofir Nachum +2
cs.LGstat.MLarXiv:2004.07219v42020
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4
eess.IVcs.CVarXiv:2006.11392v42020
A Comprehensive Overview of Large Language Models
Humza Naveed, Asad Ullah Khan, Shi Qiu +6
cs.CLarXiv:2307.06435v102023
Evaluating Object Hallucination in Large Vision-Language Models
Yifan Li, Yifan Du, Kun Zhou +3
cs.CVcs.CLcs.MMarXiv:2305.10355v32023
Machine learning and the physical sciences
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer +5
physics.comp-phastro-ph.COcond-mat.dis-nnarXiv:1903.10563v22019
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami +5
stat.MLcs.LGmath.AParXiv:1908.10407v22019
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Lasse Espeholt, Hubert Soyer, Remi Munos +9
cs.LGcs.AIarXiv:1802.01561v32018
Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models
Jiazheng Xing, Hangjie Yuan, Lingling Cai +9
cs.CVcs.AIarXiv:2605.31603v22026
DenseFuse: A Fusion Approach to Infrared and Visible Images
Hui Li, Xiao-Jun Wu
cs.CVarXiv:1804.08361v92018
The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement
Xiaobo Wang, Tong Wu, Min Tang +3
cs.CLarXiv:2605.30888v12026
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Yaowei Zheng, Richong Zhang, Junhao Zhang +4
cs.CLcs.AIarXiv:2403.13372v42024
Deep learning in remote sensing: a review
Xiao Xiang Zhu, Devis Tuia, Lichao Mou +4
cs.CVeess.IVarXiv:1710.03959v12017
Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion
Stine Lyngsø Beltoft, William Brach, Federico Torrielli +5
cs.CLcs.AIarXiv:2605.31170v12026
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang +3
cs.CVarXiv:2101.08158v22021
LOFAR: The LOw-Frequency ARray
M. P. van Haarlem, M. W. Wise, A. W. Gunst +197
astro-ph.IMarXiv:1305.3550v22013
Mellum2 Technical Report
Marko Kojic, Ivan Bondyrev, Aral de Moor +6
cs.CLarXiv:2605.31268v12026
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai, Nuno Vasconcelos
cs.CVarXiv:1906.09756v12019
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare, Will Dabney, Rémi Munos
cs.LGcs.AIstat.MLarXiv:1707.06887v12017
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow
cs.CRcs.LGarXiv:1605.07277v12016
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
Yulu Pan, Han Yi, Seongsu Ha +4
cs.CVarXiv:2605.31529v22026
User-friendly tail bounds for sums of random matrices
Joel A. Tropp
math.PRarXiv:1004.4389v72010
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
Weinan E, Bing Yu
cs.LGstat.MLarXiv:1710.00211v12017
Image Transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit +4
cs.CVarXiv:1802.05751v32018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
Kyle Hundman, Valentino Constantinou, Christopher Laporte +2
cs.LGstat.MLarXiv:1802.04431v32018
Session-based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu +3
cs.IRcs.LGstat.MLarXiv:1811.00855v42018
Recent Advances in Physical Reservoir Computing: A Review
Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux +6
cs.ETarXiv:1808.04962v32018
Deep Learning for Sentiment Analysis : A Survey
Lei Zhang, Shuai Wang, Bing Liu
cs.CLcs.IRcs.LGarXiv:1801.07883v22018
How can embedding models bind concepts?
Arnas Uselis, Darina Koishigarina, Seong Joon Oh
cs.CVcs.LGarXiv:2605.31503v12026
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang, Xin Li, Lidong Bing
cs.CLcs.CVcs.SDarXiv:2306.02858v42023
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu, Zhongang Qi, Li Fuxin
cs.CVarXiv:1811.07246v32018
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney +6
cs.CVcs.AIcs.CLarXiv:1711.07280v32017
Learning from Simulated and Unsupervised Images through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel +3
cs.CVcs.LGcs.NEarXiv:1612.07828v22016
Detecting the overlapping and hierarchical community structure of complex networks
Andrea Lancichinetti, Santo Fortunato, Janos Kertesz
physics.soc-phcond-mat.stat-mechphysics.comp-pharXiv:0802.1218v22008
Language Models (Mostly) Know What They Know
Saurav Kadavath, Tom Conerly, Amanda Askell +33
cs.CLcs.AIcs.LGarXiv:2207.05221v42022
Linear Scaling Video VLMs for Long Video Understanding
Cristobal Eyzaguirre, Jiajun Wu, Juan Carlos Niebles
cs.CVarXiv:2605.31598v12026
Count Anything
Mengqi Lei, Shuokun Cheng, Wei Bao +4
cs.CVarXiv:2605.30846v12026
DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory
Zhenhao Yang, Xiaoshi Wu, Zhengyao Lv +5
cs.CVarXiv:2605.31336v12026
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Christopher B. Choy, Danfei Xu, JunYoung Gwak +2
cs.CVcs.AIarXiv:1604.00449v12016
Task-Focused Memorization for Multimodal Agents
Tao Zou, Yichen He, Tian Qiu +2
cs.CVarXiv:2605.31075v12026
Highway Networks
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
cs.LGcs.NEarXiv:1505.00387v22015

Every paper with a summary

Federated Learning for Mobile Keyboard Prediction

Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Poisoning Attacks against Support Vector Machines

Constrained Efficient Global Optimization of Expensive Black-box Functions

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

Analyzing Learned Molecular Representations for Property Prediction

Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Graph Signal Processing: Overview, Challenges and Applications

Strategies for Pre-training Graph Neural Networks

Fast Inference from Transformers via Speculative Decoding

SimMIM: A Simple Framework for Masked Image Modeling

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

On the Continuity of Rotation Representations in Neural Networks

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

A Comprehensive Overview of Large Language Models

Evaluating Object Hallucination in Large Vision-Language Models

Machine learning and the physical sciences

An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models

DenseFuse: A Fusion Approach to Infrared and Visible Images

The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised Improvement

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Deep learning in remote sensing: a review

Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion

Focal and Efficient IOU Loss for Accurate Bounding Box Regression

LOFAR: The LOw-Frequency ARray

Mellum2 Technical Report

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

A Distributional Perspective on Reinforcement Learning

Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence

User-friendly tail bounds for sums of random matrices

The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems

Image Transformer

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Session-based Recommendation with Graph Neural Networks

Recent Advances in Physical Reservoir Computing: A Review

Deep Learning for Sentiment Analysis : A Survey

How can embedding models bind concepts?

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

PointConv: Deep Convolutional Networks on 3D Point Clouds

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Learning from Simulated and Unsupervised Images through Adversarial Training

Detecting the overlapping and hierarchical community structure of complex networks

Language Models (Mostly) Know What They Know

Linear Scaling Video VLMs for Long Video Understanding

Count Anything

DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Task-Focused Memorization for Multimodal Agents

Highway Networks