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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36,901 to 36,960 of 61,178

Peak-Piloted Deep Network for Facial Expression Recognition
Xiangyun Zhao, Xiaodan Liang, Luoqi Liu +4
cs.CVarXiv:1607.06997v22016
Monash Time Series Forecasting Archive
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb +2
cs.LGstat.MLarXiv:2105.06643v12021
Automated Design of Agentic Systems
Shengran Hu, Cong Lu, Jeff Clune
cs.AIarXiv:2408.08435v22024
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
Guanqun Sun, Yizhi Pan, Weikun Kong +5
eess.IVcs.CVcs.GRarXiv:2310.12570v22023
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
cs.CRcs.AIcs.CLarXiv:2402.08983v42024
FinanceBench: A New Benchmark for Financial Question Answering
Pranab Islam, Anand Kannappan, Douwe Kiela +3
cs.CLcs.AIcs.CEarXiv:2311.11944v12023
Noise Tolerance under Risk Minimization
Naresh Manwani, P. S. Sastry
cs.LGarXiv:1109.5231v42011
How do you define and measure research productivity?
Giovanni Abramo, Ciriaco Andrea D'Angelo
cs.DLarXiv:1810.12830v12018
MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection
Tianhao Wu, Boyang Li, Yihang Luo +6
cs.CVarXiv:2209.13756v12022
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
eess.IVcs.CVarXiv:2112.04489v32021
A k-shell decomposition method for weighted networks
Antonios Garas, Frank Schweitzer, Shlomo Havlin
physics.soc-phcs.SIarXiv:1205.3720v22012
Adaptive 360 VR Video Streaming: Divide and Conquer!
Mohammad Hosseini, Viswanathan Swaminathan
cs.MMcs.GRcs.NIarXiv:1609.08729v52016
Star-Transformer
Qipeng Guo, Xipeng Qiu, Pengfei Liu +3
cs.CLarXiv:1902.09113v32019
The dynamical strength of social ties in information spreading
Giovanna Miritello, Esteban Moro, Rubén Lara
physics.soc-phcs.SIarXiv:1011.5367v12010
Secrecy Sum Rate Maximization in Non-Orthogonal Multiple Access
Yi Zhang, Hui-Ming Wang, Qian Yang +1
cs.ITarXiv:1603.04290v12016
Probing Pretrained Language Models for Lexical Semantics
Ivan Vulić, Edoardo Maria Ponti, Robert Litschko +2
cs.CLarXiv:2010.05731v12020
Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
cs.LGcs.CVstat.MLarXiv:2006.07589v22020
Adversarial Latent Autoencoders
Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto
cs.LGcs.CVarXiv:2004.04467v12020
AutoDroid: LLM-powered Task Automation in Android
Hao Wen, Yuanchun Li, Guohong Liu +7
cs.AIcs.SEarXiv:2308.15272v42023
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich +3
cs.LGcs.AImath.OCarXiv:1806.07857v32018
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen, Yu Cheng, Zhe Gan +3
cs.CVcs.AIarXiv:2106.04533v32021
TripoSR: Fast 3D Object Reconstruction from a Single Image
Dmitry Tochilkin, David Pankratz, Zexiang Liu +7
cs.CVarXiv:2403.02151v12024
A Divergence Minimization Perspective on Imitation Learning Methods
Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu
cs.LGstat.MLarXiv:1911.02256v12019
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain +2
cs.LGmath.ATarXiv:2202.04579v42022
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach +3
cs.CVcs.CLarXiv:1511.05284v22015
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna, Tessa Han, Alex Gu +3
cs.LGcs.AIarXiv:2202.01602v62022
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang, Bhavya Kailkhura, T. Yong-Jin Han
cs.LGstat.MLarXiv:2003.07329v22020
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Marius Popescu
cs.CVarXiv:1804.10892v72018
The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools
David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz +2
cs.SIcs.CYcs.LGarXiv:2002.09485v12020
Solving and Verifying the boolean Pythagorean Triples problem via Cube-and-Conquer
Marijn J. H. Heule, Oliver Kullmann, Victor W. Marek
cs.DMcs.LOarXiv:1605.00723v12016
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
Julien Perolat, Bart de Vylder, Daniel Hennes +31
cs.AIcs.GTcs.MAarXiv:2206.15378v12022
A Survey on Neural Architecture Search
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati
cs.LGcs.CVcs.NEarXiv:1905.01392v22019
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
cs.CVcs.GRcs.LGarXiv:2211.13752v12022
CMOS-based cryogenic control of silicon quantum circuits
Xiao Xue, Bishnu Patra, Jeroen P. G. van Dijk +21
quant-phcond-mat.mes-hallphysics.app-pharXiv:2009.14185v12020
A megapixel time-gated SPAD image sensor for 2D and 3D imaging applications
Kazuhiro Morimoto, Andrei Ardelean, Ming-Lo Wu +4
eess.IVphysics.ins-detarXiv:1912.12910v12019
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer, Markus Haltmeier, Johannes Schwab
cs.CVcs.LGarXiv:1704.04587v32017
Societal Biases in Language Generation: Progress and Challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1
cs.CLarXiv:2105.04054v32021
Optimization-Based Control for Dynamic Legged Robots
Patrick M. Wensing, Michael Posa, Yue Hu +3
cs.ROarXiv:2211.11644v12022
spBayes for large univariate and multivariate point-referenced spatio-temporal data models
Andrew O. Finley, Sudipto Banerjee, Alan E. Gelfand
stat.COstat.MEarXiv:1310.8192v12013
Sampling of graph signals with successive local aggregations
Antonio G. Marques, Santiago Segarra, Geert Leus +1
cs.SIcs.ITarXiv:1504.04687v22015
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran, Peter J. Liu, Quoc V. Le
cs.CLcs.LGcs.NEarXiv:1611.02683v22016
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1811.01533v12018
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson +1
cs.CVarXiv:2108.08291v12021
Multilingual Speech Recognition With A Single End-To-End Model
Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss +4
eess.AScs.AIcs.CLarXiv:1711.01694v22017
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Meyer +4
quant-phcs.LGarXiv:1910.01155v32019
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision
Eugene Kharitonov, Damien Vincent, Zalán Borsos +6
cs.SDeess.ASarXiv:2302.03540v12023
Reliable Physical Layer Network Coding
Bobak Nazer, Michael Gastpar
cs.ITarXiv:1102.5724v12011
Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
Levent Sagun, Leon Bottou, Yann LeCun
cs.LGarXiv:1611.07476v22016
Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner +1
cs.LGcs.AIstat.MLarXiv:1811.11880v12018
Recent Developments on ESPnet Toolkit Boosted by Conformer
Pengcheng Guo, Florian Boyer, Xuankai Chang +12
eess.AScs.SDarXiv:2010.13956v22020
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro +1
cs.CVarXiv:1910.06827v52019
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Milad Nasr, Reza Shokri, Amir Houmansadr
stat.MLcs.CRcs.LGarXiv:1812.00910v22018
Is Local SGD Better than Minibatch SGD?
Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich +5
cs.LGmath.OCstat.MLarXiv:2002.07839v22020
Deep Reinforcement Learning and the Deadly Triad
Hado van Hasselt, Yotam Doron, Florian Strub +3
cs.AIcs.LGarXiv:1812.02648v12018
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong +9
cs.CLcs.AIarXiv:2401.10019v32024
Cross-Image Relational Knowledge Distillation for Semantic Segmentation
Chuanguang Yang, Helong Zhou, Zhulin An +3
cs.CVarXiv:2204.06986v22022
SMT-based Model Checking for Recursive Programs
Anvesh Komuravelli, Arie Gurfinkel, Sagar Chaki
cs.LOarXiv:1405.4028v22014
Tensor Graph Convolutional Networks for Text Classification
Xien Liu, Xinxin You, Xiao Zhang +2
cs.CLcs.IRcs.LGarXiv:2001.05313v12020
Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu +6
eess.IVcs.CVcs.LGarXiv:2005.05650v12020
TransNets: Learning to Transform for Recommendation
Rose Catherine, William Cohen
cs.IRcs.CLcs.LGarXiv:1704.02298v22017

Every paper with a summary

Peak-Piloted Deep Network for Facial Expression Recognition

Monash Time Series Forecasting Archive

Automated Design of Agentic Systems

DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

FinanceBench: A New Benchmark for Financial Question Answering

Noise Tolerance under Risk Minimization

How do you define and measure research productivity?

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

A k-shell decomposition method for weighted networks

Adaptive 360 VR Video Streaming: Divide and Conquer!

Star-Transformer

The dynamical strength of social ties in information spreading

Secrecy Sum Rate Maximization in Non-Orthogonal Multiple Access

Probing Pretrained Language Models for Lexical Semantics

Adversarial Self-Supervised Contrastive Learning

Adversarial Latent Autoencoders

AutoDroid: LLM-powered Task Automation in Android

RUDDER: Return Decomposition for Delayed Rewards

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

TripoSR: Fast 3D Object Reconstruction from a Single Image

A Divergence Minimization Perspective on Imitation Learning Methods

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

Local Learning with Deep and Handcrafted Features for Facial Expression Recognition

The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

Solving and Verifying the boolean Pythagorean Triples problem via Cube-and-Conquer

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

A Survey on Neural Architecture Search

Sketch-Guided Text-to-Image Diffusion Models

CMOS-based cryogenic control of silicon quantum circuits

A megapixel time-gated SPAD image sensor for 2D and 3D imaging applications

Deep Learning for Photoacoustic Tomography from Sparse Data

Societal Biases in Language Generation: Progress and Challenges

Optimization-Based Control for Dynamic Legged Robots

spBayes for large univariate and multivariate point-referenced spatio-temporal data models

Sampling of graph signals with successive local aggregations

Unsupervised Pretraining for Sequence to Sequence Learning

Transfer learning for time series classification

Pixel-Perfect Structure-from-Motion with Featuremetric Refinement

Multilingual Speech Recognition With A Single End-To-End Model

Stochastic gradient descent for hybrid quantum-classical optimization

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision

Reliable Physical Layer Network Coding

Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Predicting the Computational Cost of Deep Learning Models

Recent Developments on ESPnet Toolkit Boosted by Conformer

Learning Generalisable Omni-Scale Representations for Person Re-Identification

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Is Local SGD Better than Minibatch SGD?

Deep Reinforcement Learning and the Deadly Triad

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

SMT-based Model Checking for Recursive Programs

Tensor Graph Convolutional Networks for Text Classification

Invertible Image Rescaling

TransNets: Learning to Transform for Recommendation