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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41,761 to 41,820 of 61,350

Evolutionary establishment of moral and double moral standards through spatial interactions
Dirk Helbing, Attila Szolnoki, Matjaz Perc +1
physics.soc-phq-bio.PEarXiv:1003.3165v12010
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji, Junjie Yang, Yingbin Liang
cs.LGmath.OCstat.MLarXiv:2010.07962v32020
Image Segmentation by Using Threshold Techniques
Salem Saleh Al-amri, N. V. Kalyankar, Khamitkar S. D.
cs.CVarXiv:1005.4020v12010
Summaries:한국어
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale
Jiayu Du, Xingyu Na, Xuechen Liu +1
cs.CLarXiv:1808.10583v22018
Convolutional Sequence to Sequence Model for Human Dynamics
Chen Li, Zhen Zhang, Wee Sun Lee +1
cs.CVarXiv:1805.00655v12018
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Jie Lei, Licheng Yu, Tamara L. Berg +1
cs.CVcs.CLcs.IRarXiv:2001.09099v22020
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
Hao Zhou, Wengang Zhou, Weizhen Qi +2
cs.CVcs.CLarXiv:2105.12397v12021
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo, Seul Lee, Sung Ju Hwang
cs.LGarXiv:2202.02514v32022
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou +6
cs.AIcs.LGeess.SYarXiv:2104.02214v12021
Troubling Trends in Machine Learning Scholarship
Zachary C. Lipton, Jacob Steinhardt
stat.MLcs.AIcs.LGarXiv:1807.03341v22018
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval
Cheng Deng, Zhaojia Chen, Xianglong Liu +2
cs.IRarXiv:1904.02449v12019
Concepts of quantum non-Markovianity: a hierarchy
Li Li, Michael J. W. Hall, Howard M. Wiseman
quant-pharXiv:1712.08879v32017
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang +5
cs.CLcs.AIcs.LGarXiv:2306.15895v22023
English Conversational Telephone Speech Recognition by Humans and Machines
George Saon, Gakuto Kurata, Tom Sercu +9
cs.CLarXiv:1703.02136v12017
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee, Neel Nanda, Matthew Pauly +3
cs.LGcs.AIarXiv:2305.01610v22023
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang, Yifeng Ding, Jiyang Xie +6
cs.CVarXiv:2002.04264v32020
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
Yuxuan Sun, Sheng Zhou, Jie Xu
cs.ITcs.NIarXiv:1709.02582v12017
Learning to Learn from Noisy Labeled Data
Junnan Li, Yongkang Wong, Qi Zhao +1
cs.LGcs.CVstat.MLarXiv:1812.05214v22018
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu, Nikolay Laptev
stat.MLarXiv:1709.01907v12017
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li +1
cs.CVarXiv:2305.08891v42023
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Xiaomeng Li, Xiaowei Hu, Lequan Yu +3
eess.IVcs.CVarXiv:1911.01376v12019
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman, Danijar Hafner, George Tucker +2
cs.LGcs.AIstat.MLarXiv:1807.01675v22018
Echoes of power: Language effects and power differences in social interaction
Cristian Danescu-Niculescu-Mizil, Lillian Lee, Bo Pang +1
cs.SIcs.CLphysics.soc-pharXiv:1112.3670v32011
mD-Track: Leveraging Multi-Dimensionality in Passive Indoor Wi-Fi Tracking
Yaxiong Xie, Jie Xiong, Mo Li +1
cs.NIarXiv:1812.03103v22018
Transforming Model Prediction for Tracking
Christoph Mayer, Martin Danelljan, Goutam Bhat +4
cs.CVarXiv:2203.11192v12022
Privacy Against Statistical Inference
Flavio du Pin Calmon, Nadia Fawaz
cs.ITcs.CRarXiv:1210.2123v12012
Inferring transportation modes from GPS trajectories using a convolutional neural network
Sina Dabiri, Kevin Heaslip
cs.LGstat.MLarXiv:1804.02386v12018
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl +6
cs.CLcs.IRcs.SIarXiv:2011.03327v42020
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Guodong Wang, Shumin Han, Errui Ding +1
cs.CVarXiv:2103.04257v32021
A StrongREJECT for Empty Jailbreaks
Alexandra Souly, Qingyuan Lu, Dillon Bowen +8
cs.LGcs.CLcs.CRarXiv:2402.10260v22024
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das +1
cs.LGcs.AIphysics.comp-pharXiv:2306.12059v32023
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
Weituo Hao, Chunyuan Li, Xiujun Li +2
cs.CVcs.CLcs.LGarXiv:2002.10638v22020
On the Global Convergence Rates of Softmax Policy Gradient Methods
Jincheng Mei, Chenjun Xiao, Csaba Szepesvari +1
cs.LGstat.MLarXiv:2005.06392v32020
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li, Ting Kei Pong
math.OCstat.MLarXiv:1602.02915v62016
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Görkem Algan, Ilkay Ulusoy
cs.LGcs.CVstat.MLarXiv:1912.05170v32019
Channel Estimation and Passive Beamforming for Intelligent Reflecting Surface: Discrete Phase Shift and Progressive Refinement
Changsheng You, Beixiong Zheng, Rui Zhang
cs.ITcs.NIarXiv:1912.10646v22019
Structured Chain-of-Thought Prompting for Code Generation
Jia Li, Ge Li, Yongmin Li +1
cs.SEcs.CLarXiv:2305.06599v32023
Internet of Underwater Things and Big Marine Data Analytics -- A Comprehensive Survey
Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo +1
cs.NIarXiv:2012.06712v22020
A Review of Pseudospectral Optimal Control: From Theory to Flight
I. M. Ross, M. Karpenko
math.OCcs.AIeess.SYarXiv:2511.20843v12025
Foreground-aware Image Inpainting
Wei Xiong, Jiahui Yu, Zhe Lin +4
cs.CVarXiv:1901.05945v32019
Predictability and Surprise in Large Generative Models
Deep Ganguli, Danny Hernandez, Liane Lovitt +27
cs.CYarXiv:2202.07785v22022
Recursively Summarizing Books with Human Feedback
Jeff Wu, Long Ouyang, Daniel M. Ziegler +4
cs.CLcs.AIcs.LGarXiv:2109.10862v22021
Contrastive Learning for Cold-Start Recommendation
Yinwei Wei, Xiang Wang, Qi Li +4
cs.IRcs.MMarXiv:2107.05315v32021
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu +1
cs.CVarXiv:1906.07789v12019
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGstat.MLarXiv:2002.03230v22020
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
Zhan Chen, Sicheng Li, Bing Yang +2
cs.CVarXiv:2206.13028v12022
A Kernel Test of Goodness of Fit
Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton
stat.MLarXiv:1602.02964v42016
Grid Long Short-Term Memory
Nal Kalchbrenner, Ivo Danihelka, Alex Graves
cs.NEcs.CLcs.LGarXiv:1507.01526v32015
How to represent crystal structures for machine learning: towards fast prediction of electronic properties
K. T. Schütt, H. Glawe, F. Brockherde +3
cond-mat.mtrl-sciarXiv:1307.1266v32013
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
cs.CLcs.LGarXiv:1809.06416v12018
Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms
Marin Jovanovic, David Sjodin, Vinit Parida
cs.SEarXiv:2102.04862v12021
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
math.STarXiv:1210.0686v32012
Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang, Yash Goyal, Douglas Summers-Stay +2
cs.CLcs.CVcs.LGarXiv:1511.05099v52015
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis, Filippos Christianos, Lukas Schäfer +1
cs.LGcs.AIcs.MAarXiv:2006.07869v42020
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Yaofang Liu, Xiaodong Cun, Xuebo Liu +7
cs.CVarXiv:2310.11440v32023
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Hugo Laurençon, Lucile Saulnier, Léo Tronchon +9
cs.IRcs.CVarXiv:2306.16527v22023
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security
Yuanchun Li, Hao Wen, Weijun Wang +22
cs.HCcs.AIcs.SEarXiv:2401.05459v22024
Participation is not a Design Fix for Machine Learning
Mona Sloane, Emanuel Moss, Olaitan Awomolo +1
cs.CYcs.LGarXiv:2007.02423v32020
Deep vs. shallow networks : An approximation theory perspective
Hrushikesh Mhaskar, Tomaso Poggio
cs.LGmath.FAarXiv:1608.03287v12016
Influence of COVID-19 confinement in students performance in higher education
T. Gonzalez, M. A. de la Rubia, K. P. Hincz +4
cs.CYarXiv:2004.09545v12020

Every paper with a summary

Evolutionary establishment of moral and double moral standards through spatial interactions

Bilevel Optimization: Convergence Analysis and Enhanced Design

Image Segmentation by Using Threshold Techniques

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

Convolutional Sequence to Sequence Model for Human Dynamics

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

Improving Sign Language Translation with Monolingual Data by Sign Back-Translation

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques

Troubling Trends in Machine Learning Scholarship

Triplet-Based Deep Hashing Network for Cross-Modal Retrieval

Concepts of quantum non-Markovianity: a hierarchy

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

English Conversational Telephone Speech Recognition by Humans and Machines

Finding Neurons in a Haystack: Case Studies with Sparse Probing

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks

Learning to Learn from Noisy Labeled Data

Deep and Confident Prediction for Time Series at Uber

Common Diffusion Noise Schedules and Sample Steps are Flawed

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

Echoes of power: Language effects and power differences in social interaction

mD-Track: Leveraging Multi-Dimensionality in Passive Indoor Wi-Fi Tracking

Transforming Model Prediction for Tracking

Privacy Against Statistical Inference

Inferring transportation modes from GPS trajectories using a convolutional neural network

Fighting an Infodemic: COVID-19 Fake News Dataset

Student-Teacher Feature Pyramid Matching for Anomaly Detection

A StrongREJECT for Empty Jailbreaks

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

On the Global Convergence Rates of Softmax Policy Gradient Methods

Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods

Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey

Channel Estimation and Passive Beamforming for Intelligent Reflecting Surface: Discrete Phase Shift and Progressive Refinement

Structured Chain-of-Thought Prompting for Code Generation

Internet of Underwater Things and Big Marine Data Analytics -- A Comprehensive Survey

A Review of Pseudospectral Optimal Control: From Theory to Flight

Foreground-aware Image Inpainting

Predictability and Surprise in Large Generative Models

Recursively Summarizing Books with Human Feedback

Contrastive Learning for Cold-Start Recommendation

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

Hierarchical Generation of Molecular Graphs using Structural Motifs

Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

A Kernel Test of Goodness of Fit

Grid Long Short-Term Memory

How to represent crystal structures for machine learning: towards fast prediction of electronic properties

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning

Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms

Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic

Yin and Yang: Balancing and Answering Binary Visual Questions

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Participation is not a Design Fix for Machine Learning

Deep vs. shallow networks : An approximation theory perspective

Influence of COVID-19 confinement in students performance in higher education