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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39,241 to 39,300 of 61,302

PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Aaron Harlap, Deepak Narayanan, Amar Phanishayee +4
cs.DCarXiv:1806.03377v12018
Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches
Yonatan Vaizman, Katherine Ellis, Gert Lanckriet
cs.AIcs.CYcs.HCarXiv:1609.06354v42016
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
cs.AIcs.IRarXiv:1707.05176v32017
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang, Minghong Fang, Jia Liu
cs.LGcs.DCarXiv:2101.11203v32021
Notes on the K3 Surface and the Mathieu group M_24
Tohru Eguchi, Hirosi Ooguri, Yuji Tachikawa
hep-thmath.AGmath.GRarXiv:1004.0956v22010
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
Caijing Miao, Lingxi Xie, Fang Wan +4
cs.CVarXiv:1901.00303v12019
Generating Images with Sparse Representations
Charlie Nash, Jacob Menick, Sander Dieleman +1
cs.CVstat.MLarXiv:2103.03841v12021
Mapping county-level mobility pattern changes in the United States in response to COVID-19
Song Gao, Jinmeng Rao, Yuhao Kang +2
physics.soc-phcs.SIq-bio.PEarXiv:2004.04544v22020
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang, Yiming Ying
cs.LGcs.AImath.OCarXiv:2203.15046v32022
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee, Jaejun Yoo, Sungho Tak +1
cs.CVcs.AIcs.LGarXiv:1804.00432v12018
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo, Hamed Haddadi, Kleomenis Katevas +3
cs.CRcs.DCcs.LGarXiv:2104.14380v22021
The Physics of Communicability in Complex Networks
Ernesto Estrada, Naomichi Hatano, Michele Benzi
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1109.2950v12011
Sentiment Analysis in the News
Alexandra Balahur, Ralf Steinberger, Mijail Kabadjov +5
cs.CLarXiv:1309.6202v12013
End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications
Merima Kulin, Tarik Kazaz, Ingrid Moerman +1
cs.NIarXiv:1712.03987v12017
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
Steffen Wiewel, Moritz Becher, Nils Thuerey
cs.LGcs.GRarXiv:1802.10123v32018
Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids
Shen Wang, Ahmad F. Taha, Jianhui Wang +2
eess.SYarXiv:1901.02390v22019
Deep Partial Multi-View Learning
Changqing Zhang, Yajie Cui, Zongbo Han +3
cs.LGarXiv:2011.06170v12020
Fault-Tolerant Measurement-Based Quantum Computing with Continuous-Variable Cluster States
Nicolas C. Menicucci
quant-pharXiv:1310.7596v32013
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
cs.ROcs.AIcs.LGarXiv:1912.06095v22019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
cs.LGcs.AIcs.CVarXiv:1904.09503v22019
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu, Zijie Li, Amir Barati Farimani
cs.LGphysics.flu-dynarXiv:2211.14680v22022
Inertial Douglas-Rachford splitting for monotone inclusion problems
Radu Ioan Bot, Ernö Robert Csetnek, Christopher Hendrich
math.OCmath.FAmath.NAarXiv:1403.3330v22014
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
Dayan Guan, Yanpeng Cao, Jun Liang +2
cs.CVarXiv:1802.09972v12018
Nonlinear optimal control via occupation measures and LMI-relaxations
Jean-Bernard Lasserre, Didier Henrion, Christophe Prieur +1
math.OCarXiv:math/0703377v12007
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
Javad Amirian, Jean-Bernard Hayet, Julien Pettre
cs.CVarXiv:1904.09507v22019
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
Lea Schönherr, Katharina Kohls, Steffen Zeiler +2
cs.CRcs.SDeess.ASarXiv:1808.05665v22018
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
Ali Borji, Laurent Itti
cs.CVarXiv:1505.03581v12015
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
Liekang Zeng, Xu Chen, Zhi Zhou +2
cs.NIcs.CVcs.DCarXiv:2012.03257v12020
Downlink Cellular Network Analysis with Multi-slope Path Loss Models
Xinchen Zhang, Jeffrey G. Andrews
cs.ITarXiv:1408.0549v42014
Bullshark: DAG BFT Protocols Made Practical
Alexander Spiegelman, Neil Giridharan, Alberto Sonnino +1
cs.CRarXiv:2201.05677v32022
Seq-NMS for Video Object Detection
Wei Han, Pooya Khorrami, Tom Le Paine +6
cs.CVarXiv:1602.08465v32016
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi +6
cs.CVarXiv:2208.03543v12022
Accelerating Reinforcement Learning with Learned Skill Priors
Karl Pertsch, Youngwoon Lee, Joseph J. Lim
cs.LGcs.AIcs.ROarXiv:2010.11944v12020
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann LeCun +1
cs.ROcs.AIarXiv:2411.04983v22024
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Chuming Lin, Chengming Xu, Donghao Luo +6
cs.CVcs.AIarXiv:2103.13137v12021
Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha, Yijun Li, Jingwan Lu +4
cs.CVcs.GRcs.LGarXiv:2104.06820v12021
Small vulnerable sets determine large network cascades in power grids
Yang Yang, Takashi Nishikawa, Adilson E. Motter
physics.soc-phcond-mat.dis-nncs.SIarXiv:1804.06432v12018
Data-driven model reduction and transfer operator approximation
Stefan Klus, Feliks Nüske, Péter Koltai +4
math.DSarXiv:1703.10112v22017
Partisan Asymmetries in Online Political Activity
Michael D. Conover, Bruno Gonçalves, Alessandro Flammini +1
cs.SIcs.HCphysics.soc-pharXiv:1205.1010v22012
Iterative Random Forests to detect predictive and stable high-order interactions
Sumanta Basu, Karl Kumbier, James B. Brown +1
stat.MLq-bio.GNarXiv:1706.08457v42017
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske, Eric M. Metodiev, Jesse Thaler
hep-phhep-exstat.MLarXiv:1810.05165v22018
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
Stefan Klus, Feliks Nüske, Sebastian Peitz +3
math.DSstat.MLarXiv:1909.10638v22019
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón +2
cs.CRcs.AIcs.LGarXiv:2201.08135v12022
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
Jun Tang, Aleksandra Korolova, Xiaolong Bai +2
cs.CRcs.CYcs.LGarXiv:1709.02753v22017
A Deeper Look at Experience Replay
Shangtong Zhang, Richard S. Sutton
cs.LGcs.AIarXiv:1712.01275v32017
How Many Data Points is a Prompt Worth?
Teven Le Scao, Alexander M. Rush
cs.LGarXiv:2103.08493v22021
Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization
Nicolas Y. Masse, Gregory D. Grant, David J. Freedman
cs.LGcs.AIq-bio.NCarXiv:1802.01569v22018
Estimating Granger causality from Fourier and wavelet transforms of time series data
Mukeshwar Dhamala, Govindan Rangarajan, Mingzhou Ding
physics.data-ancond-mat.stat-mechphysics.bio-pharXiv:0711.2729v12007
Lip Movements Generation at a Glance
Lele Chen, Zhiheng Li, Ross K. Maddox +2
cs.CVarXiv:1803.10404v32018
Deep Generalized Unfolding Networks for Image Restoration
Chong Mou, Qian Wang, Jian Zhang
cs.CVeess.IVarXiv:2204.13348v12022
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli
cs.CLarXiv:1711.05217v22017
Style Aggregated Network for Facial Landmark Detection
Xuanyi Dong, Yan Yan, Wanli Ouyang +1
cs.CVarXiv:1803.04108v42018
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito, Suguru Yaginuma, Yuta Nishino +2
stat.MLcs.IRcs.LGarXiv:1909.03601v32019
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin, Shen, Jie Gao +4
cs.NIcs.AIarXiv:2301.00519v12023
A universal 3D imaging sensor on a silicon photonics platform
Christopher Rogers, Alexander Y. Piggott, David J. Thomson +9
physics.app-pharXiv:2008.02411v32020
Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion
Fuyan Ma, Bin Sun, Shutao Li
cs.CVarXiv:2103.16854v32021
Rethinking Machine Unlearning for Large Language Models
Sijia Liu, Yuanshun Yao, Jinghan Jia +11
cs.LGcs.CLarXiv:2402.08787v62024
A variational approach to modeling slow processes in stochastic dynamical systems
Frank Noé, Feliks Nüske
math-phmath.STphysics.chem-pharXiv:1211.7103v12012
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders
Romit Maulik, Bethany Lusch, Prasanna Balaprakash
physics.flu-dynphysics.comp-pharXiv:2002.00470v22020
Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites
A. Guidotti, A. Vanelli-Coralli, M. Conti +10
cs.NIarXiv:1806.02088v12018

Every paper with a summary

PipeDream: Fast and Efficient Pipeline Parallel DNN Training

Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

Notes on the K3 Surface and the Mathieu group M_24

SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images

Generating Images with Sparse Representations

Mapping county-level mobility pattern changes in the United States in response to COVID-19

AUC Maximization in the Era of Big Data and AI: A Survey

Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

The Physics of Communicability in Complex Networks

Sentiment Analysis in the News

End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications

Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow

Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids

Deep Partial Multi-View Learning

Fault-Tolerant Measurement-Based Quantum Computing with Continuous-Variable Cluster States

Graph Neural Networks for Decentralized Multi-Robot Path Planning

Model-free Deep Reinforcement Learning for Urban Autonomous Driving

A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction

Inertial Douglas-Rachford splitting for monotone inclusion problems

Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection

Nonlinear optimal control via occupation measures and LMI-relaxations

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding

CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research

CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices

Downlink Cellular Network Analysis with Multi-slope Path Loss Models

Bullshark: DAG BFT Protocols Made Practical

Seq-NMS for Video Object Detection

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

Accelerating Reinforcement Learning with Learned Skill Priors

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

Few-shot Image Generation via Cross-domain Correspondence

Small vulnerable sets determine large network cascades in power grids

Data-driven model reduction and transfer operator approximation

Partisan Asymmetries in Online Political Activity

Iterative Random Forests to detect predictive and stable high-order interactions

Energy Flow Networks: Deep Sets for Particle Jets

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges

Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12

A Deeper Look at Experience Replay

How Many Data Points is a Prompt Worth?

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

Estimating Granger causality from Fourier and wavelet transforms of time series data

Lip Movements Generation at a Glance

Deep Generalized Unfolding Networks for Image Restoration

Controllable Abstractive Summarization

Style Aggregated Network for Facial Landmark Detection

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

Holistic Network Virtualization and Pervasive Network Intelligence for 6G

A universal 3D imaging sensor on a silicon photonics platform

Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion

Rethinking Machine Unlearning for Large Language Models

A variational approach to modeling slow processes in stochastic dynamical systems

Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders

Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites