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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57,121 to 57,180 of 61,090

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin, Zichen Zhang, Chenyang Huang +3
cs.CVarXiv:2005.09007v32020
ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?
Woojung Song, Nalim Kim, Sangjun Song +3
cs.CLcs.AIarXiv:2606.05553v12026
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson, Mike Schuster, Quoc V. Le +9
cs.CLcs.AIarXiv:1611.04558v22016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konečný, H. Brendan McMahan, Daniel Ramage +1
cs.LGarXiv:1610.02527v12016
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle +1
cs.LGcs.CVstat.MLarXiv:1512.09300v22015
SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents
Wenxuan Wang, Haoyu Sun, Fukuan Hou +4
cs.AIcs.CLarXiv:2606.05761v22026
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh
cs.CVarXiv:1711.09577v22017
Learning Dexterous In-Hand Manipulation
OpenAI, Marcin Andrychowicz, Bowen Baker +14
cs.LGcs.AIcs.ROarXiv:1808.00177v52018
Robots Need More than VLA and World Models
Elis Karcini, Faisal Mehrban, Quang Nguyen +6
cs.ROarXiv:2606.06556v12026
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine, Peter Pastor, Alex Krizhevsky +1
cs.LGcs.AIcs.CVarXiv:1603.02199v42016
Deep Speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper +8
cs.CLcs.LGcs.NEarXiv:1412.5567v22014
AsyncWebRL: Efficient Asynchronous Reinforcement Learning for Multi-Step Visual Web Agents
Hao Bai, Rui Yang, Chenlu Ye +3
cs.LGarXiv:2606.05597v32026
A Survey of Indoor Localization Systems and Technologies
Faheem Zafari, Athanasios Gkelias, Kin Leung
cs.NIarXiv:1709.01015v32017
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
cs.CVarXiv:2102.02808v22021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu +6
cs.CLcs.LGstat.MLarXiv:2006.16668v12020
RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling
Chensheng Dai, Shengjun Zhang, Yifan Li +3
cs.CVarXiv:2606.06309v12026
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin, David Bau, Ben Z. Yuan +3
cs.AIcs.LGstat.MLarXiv:1806.00069v32018
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Shaoyang Xu, Jingshen Zhang, Long P. Hoang +2
cs.CLcs.CYarXiv:2606.05985v12026
IR3DE: A Linear Router for Large Language Models
Eros Fanì, Oğuzhan Ersoy
cs.CLcs.LGarXiv:2606.06098v12026
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jiaqi Chen +12
cs.AIcs.MAarXiv:2308.00352v72023
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
cs.CVarXiv:1608.05167v12016
Efficient Streaming Language Models with Attention Sinks
Guangxuan Xiao, Yuandong Tian, Beidi Chen +2
cs.CLcs.AIarXiv:2309.17453v42023
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia, Emily Fertig, Jie Ren +6
stat.MLcs.LGarXiv:1906.02530v22019
Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky, Léon Bottou
stat.MLcs.LGarXiv:1701.04862v12017
Uformer: A General U-Shaped Transformer for Image Restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao +3
cs.CVarXiv:2106.03106v22021
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
Justus Thies, Michael Zollhöfer, Marc Stamminger +2
cs.CVarXiv:2007.14808v12020
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo, Yujia Li, Raquel Urtasun +1
cs.CVcs.AIcs.LGarXiv:1701.04128v22017
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou, Yuxin Wu, Zekun Ni +3
cs.NEcs.LGarXiv:1606.06160v32016
Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger
Duncan A. Brown, Karan Vahi, Michela Taufer +2
cs.DCastro-ph.IMgr-qcarXiv:2010.07244v22020
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang, Xiangnan He, Yixin Cao +2
cs.LGcs.IRstat.MLarXiv:1905.07854v22019
Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang +5
cs.CVcs.LGarXiv:2111.05826v22021
Deep Learning Face Representation by Joint Identification-Verification
Yi Sun, Xiaogang Wang, Xiaoou Tang
cs.CVarXiv:1406.4773v12014
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo, Chongyi Li, Jichang Guo +4
cs.CVarXiv:2001.06826v22020
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen, Chang Liu, Bo Li +2
cs.CRcs.LGarXiv:1712.05526v12017
An Overview of Recent Progress in the Study of Distributed Multi-agent Coordination
Yongcan Cao, Wenwu Yu, Wei Ren +1
math.OCarXiv:1207.3231v22012
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang +5
cs.NIeess.SParXiv:1909.11875v22019
A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
Matthew O. Williams, Ioannis G. Kevrekidis, Clarence W. Rowley
math.DSarXiv:1408.4408v12014
Multimodal Transformer for Unaligned Multimodal Language Sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang +3
cs.CLarXiv:1906.00295v12019
Evasion Attacks against Machine Learning at Test Time
Battista Biggio, Igino Corona, Davide Maiorca +5
cs.CRcs.LGarXiv:1708.06131v12017
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen, Mu Li, Yutian Li +7
cs.DCcs.LGcs.MSarXiv:1512.01274v12015
DeepXDE: A deep learning library for solving differential equations
Lu Lu, Xuhui Meng, Zhiping Mao +1
cs.LGphysics.comp-phstat.MLarXiv:1907.04502v22019
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily Denton, Soumith Chintala, Arthur Szlam +1
cs.CVarXiv:1506.05751v12015
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg
cs.CRcs.LGarXiv:1708.06733v22017
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos +1
cs.CLarXiv:1803.05355v32018
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter, Vibhav Vineet, Stefan Roth +1
cs.CVarXiv:1608.02192v12016
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li, Mark Yatskar, Da Yin +2
cs.CVcs.CLcs.LGarXiv:1908.03557v12019
Deep Variational Information Bottleneck
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon +1
cs.LGcs.ITarXiv:1612.00410v72016
Plenoxels: Radiance Fields without Neural Networks
Alex Yu, Sara Fridovich-Keil, Matthew Tancik +3
cs.CVcs.GRarXiv:2112.05131v12021
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang, Ke Wang
cs.IRcs.LGarXiv:1809.07426v12018
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova
cs.CRarXiv:1407.6981v22014
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
cs.LGcs.AIstat.MLarXiv:1605.05273v42016
Pre-Trained Image Processing Transformer
Hanting Chen, Yunhe Wang, Tianyu Guo +7
cs.CVcs.LGarXiv:2012.00364v42020
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih +3
cs.CVarXiv:1804.07723v22018
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt +1
cs.CVcs.LGstat.MLarXiv:1902.10811v22019
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team, Morgane Riviere, Shreya Pathak +195
cs.CLcs.AIarXiv:2408.00118v32024
Building high-level features using large scale unsupervised learning
Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga +5
cs.LGarXiv:1112.6209v52011
A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4
cs.CLcs.AIcs.LGarXiv:1703.03130v12017
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang +4
cs.CVcs.LGeess.IVarXiv:1912.13192v22019
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu +3
cs.CVcs.LGcs.ROarXiv:1912.12033v22019
Wavelets on Graphs via Spectral Graph Theory
David K Hammond, Pierre Vandergheynst, Rémi Gribonval
math.FAcs.ITarXiv:0912.3848v12009

Every paper with a summary

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Autoencoding beyond pixels using a learned similarity metric

SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Learning Dexterous In-Hand Manipulation

Robots Need More than VLA and World Models

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

Deep Speech: Scaling up end-to-end speech recognition

AsyncWebRL: Efficient Asynchronous Reinforcement Learning for Multi-Step Visual Web Agents

A Survey of Indoor Localization Systems and Technologies

Multi-Stage Progressive Image Restoration

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling

Explaining Explanations: An Overview of Interpretability of Machine Learning

Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems

IR3DE: A Linear Router for Large Language Models

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

Efficient Streaming Language Models with Attention Sinks

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Towards Principled Methods for Training Generative Adversarial Networks

Uformer: A General U-Shaped Transformer for Image Restoration

Face2Face: Real-time Face Capture and Reenactment of RGB Videos

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger

KGAT: Knowledge Graph Attention Network for Recommendation

Palette: Image-to-Image Diffusion Models

Deep Learning Face Representation by Joint Identification-Verification

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

An Overview of Recent Progress in the Study of Distributed Multi-agent Coordination

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

Multimodal Transformer for Unaligned Multimodal Language Sequences

Evasion Attacks against Machine Learning at Test Time

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

DeepXDE: A deep learning library for solving differential equations

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

FEVER: a large-scale dataset for Fact Extraction and VERification

Playing for Data: Ground Truth from Computer Games

VisualBERT: A Simple and Performant Baseline for Vision and Language

Deep Variational Information Bottleneck

Plenoxels: Radiance Fields without Neural Networks

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response

Learning Convolutional Neural Networks for Graphs

Pre-Trained Image Processing Transformer

Image Inpainting for Irregular Holes Using Partial Convolutions

Do ImageNet Classifiers Generalize to ImageNet?

Gemma 2: Improving Open Language Models at a Practical Size

Building high-level features using large scale unsupervised learning

A Structured Self-attentive Sentence Embedding

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Deep Learning for 3D Point Clouds: A Survey

Wavelets on Graphs via Spectral Graph Theory