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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41,221 to 41,280 of 61,351

MLPerf Tiny Benchmark
Colby Banbury, Vijay Janapa Reddi, Peter Torelli +19
cs.LGcs.ARarXiv:2106.07597v42021
Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret
Animashree Anandkumar, Nithin Michael, Ao Kevin Tang +1
cs.NIstat.MLarXiv:1006.1673v12010
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov, Jonathan Tompson, Rob Fergus +1
cs.LGarXiv:2103.08050v12021
Libcint: An efficient general integral library for Gaussian basis functions
Qiming Sun
physics.chem-pharXiv:1412.0649v12014
Solving the Cold-Start Problem in Recommender Systems with Social Tags
Zi-Ke Zhang, Chuang Liu, Yi-Cheng Zhang +1
cs.IRphysics.soc-pharXiv:1004.3732v22010
On the Role of Age of Information in the Internet of Things
Mohamed A. Abd-Elmagid, Nikolaos Pappas, Harpreet S. Dhillon
cs.ITcs.NIarXiv:1812.08286v32018
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection
Zhanchao Huang, Jianlin Wang, Xuesong Fu +3
cs.CVarXiv:1903.08589v22019
A mathematical theory of semantic development in deep neural networks
Andrew M. Saxe, James L. McClelland, Surya Ganguli
cs.LGcs.AIq-bio.NCarXiv:1810.10531v12018
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
Changxing Ding, Jonghyun Choi, Dacheng Tao +1
cs.CVarXiv:1401.5311v22014
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
cs.LGeess.IVstat.MLarXiv:1910.10536v32019
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Nan Yang, Rui Wang, Jörg Stückler +1
cs.CVarXiv:1807.02570v22018
i-RevNet: Deep Invertible Networks
Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon
cs.LGcs.CVstat.MLarXiv:1802.07088v12018
Efficient and robust analysis of complex scattering data under noise in microwave resonators
S. Probst, F. B. Song, P. A. Bushev +2
cond-mat.supr-conphysics.ins-detarXiv:1410.3365v22014
A Survey on 3D Gaussian Splatting
Guikun Chen, Wenguan Wang
cs.CVcs.AIcs.GRarXiv:2401.03890v92024
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
Bo Li, Kaitao Xue, Bin Liu +1
cs.CVeess.IVarXiv:2205.07680v22022
Particle Learning and Smoothing
Carlos M. Carvalho, Michael S. Johannes, Hedibert F. Lopes +1
stat.MEarXiv:1011.1098v12010
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Umar Iqbal, Pavlo Molchanov, Thomas Breuel +2
cs.CVcs.LGarXiv:1804.09534v12018
Deep learning in nano-photonics: inverse design and beyond
Peter R. Wiecha, Arnaud Arbouet, Christian Girard +1
physics.opticscond-mat.mes-hallphysics.comp-pharXiv:2011.12603v22020
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao, Shaoyu Chen, Haoran Yin +8
cs.CVcs.ROarXiv:2411.15139v32024
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
S. Li, S. Dragicevic, F. Anton +8
physics.soc-phcs.CYphysics.data-anarXiv:1511.03010v12015
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
Russell Stewart, Stefano Ermon
cs.AIarXiv:1609.05566v12016
Deep Projective 3D Semantic Segmentation
Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg +3
cs.CVarXiv:1705.03428v12017
A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks
Marcus Kaiser
q-bio.NCcs.SIphysics.soc-pharXiv:1105.4705v12011
Large Language Models for Mathematical Reasoning: Progresses and Challenges
Janice Ahn, Rishu Verma, Renze Lou +3
cs.CLarXiv:2402.00157v42024
A Survey of Available Corpora for Building Data-Driven Dialogue Systems
Iulian Vlad Serban, Ryan Lowe, Peter Henderson +2
cs.CLcs.AIcs.HCarXiv:1512.05742v32015
Quantum Metropolis Sampling
K. Temme, T. J. Osborne, K. G. Vollbrecht +2
quant-phcond-mat.str-elhep-latarXiv:0911.3635v22009
Next Generation Terahertz Communications: A Rendezvous of Sensing, Imaging, and Localization
Hadi Sarieddeen, Nasir Saeed, Tareq Y. Al-Naffouri +1
eess.SParXiv:1909.10462v22019
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Wei Zhang, Miaoxin Cai, Tong Zhang +2
cs.CVarXiv:2401.16822v32024
Ranking with Fairness Constraints
L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi
cs.DScs.CYcs.IRarXiv:1704.06840v42017
Detecting network communities by propagating labels under constraints
Michael J. Barber, John W. Clark
physics.data-anphysics.soc-pharXiv:0903.3138v22009
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
Yi Ding, Neethu Robinson, Su Zhang +2
cs.LGarXiv:2104.02935v42021
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi +1
cs.CVarXiv:1801.05091v22018
Real-World Robot Learning with Masked Visual Pre-training
Ilija Radosavovic, Tete Xiao, Stephen James +3
cs.ROcs.CVcs.LGarXiv:2210.03109v12022
Coherence and elicitability
Johanna F. Ziegel
q-fin.RMmath.STq-fin.STarXiv:1303.1690v32013
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Xinhai Liu, Zhizhong Han, Yu-Shen Liu +1
cs.CVarXiv:1811.02565v22018
Clinically Accurate Chest X-Ray Report Generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott +4
cs.CVcs.CLarXiv:1904.02633v22019
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Hanrui Wang, Kuan Wang, Jiacheng Yang +4
eess.SPcs.LGarXiv:2005.00406v12020
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker, Kenneth Marino, Abhinav Gupta +1
cs.CVarXiv:1705.00053v12017
Data Selection for Language Models via Importance Resampling
Sang Michael Xie, Shibani Santurkar, Tengyu Ma +1
cs.CLcs.LGarXiv:2302.03169v32023
Layer-adaptive sparsity for the Magnitude-based Pruning
Jaeho Lee, Sejun Park, Sangwoo Mo +2
cs.LGarXiv:2010.07611v22020
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Kai Zhang, Sai Bi, Hao Tan +4
cs.CVarXiv:2404.19702v12024
Self-supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar, Ali Etemad
eess.SPcs.LGstat.MLarXiv:2002.03898v22020
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko, Nicolas Flammarion
cs.LGcs.CRcs.CVarXiv:2007.02617v22020
Proximal Methods for Hierarchical Sparse Coding
Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski +1
stat.MLarXiv:1009.2139v42010
A differential Lyapunov framework for contraction analysis
Fulvio Forni, Rodolphe Sepulchre
eess.SYmath.DGmath.DSarXiv:1208.2943v42012
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu +3
cs.CVcs.LGeess.IVarXiv:2011.07491v32020
Computing in Operations Research using Julia
Miles Lubin, Iain Dunning
math.OCcs.PLmath.NAarXiv:1312.1431v12013
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen, Muxin Xu, Xiaolu Hui +2
cs.CVarXiv:1908.07325v12019
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer +2
cs.CVcs.LGarXiv:2110.04202v32021
FermiSurfer: Fermi-surface viewer providing multiple representation schemes
Mitsuaki Kawamura
cond-mat.mtrl-sciarXiv:1811.06177v22018
Random Forests for Big Data
Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot +1
stat.MLcs.LGmath.STarXiv:1511.08327v22015
Synthetic Dimension in Photonics
Luqi Yuan, Qian Lin, Meng Xiao +1
physics.opticsarXiv:1807.11468v12018
Recurrence-based time series analysis by means of complex network methods
Reik V. Donner, Michael Small, Jonathan F. Donges +4
nlin.CDcs.SIphysics.data-anarXiv:1010.6032v12010
Constrained Sparse Galerkin Regression
Jean-Christophe Loiseau, Steven L. Brunton
physics.flu-dynarXiv:1611.03271v22016
Machine Learning for Electronic Design Automation: A Survey
Guyue Huang, Jingbo Hu, Yifan He +13
eess.SPcs.AIcs.LGarXiv:2102.03357v22021
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Li Liu, Jie Chen, Paul Fieguth +3
cs.CVcs.LGarXiv:1801.10324v22018
Generating Sequences by Learning to Self-Correct
Sean Welleck, Ximing Lu, Peter West +4
cs.CLarXiv:2211.00053v12022
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl +2
cs.LGstat.MLarXiv:1905.06731v12019
OpenAGI: When LLM Meets Domain Experts
Yingqiang Ge, Wenyue Hua, Kai Mei +5
cs.AIcs.CLcs.LGarXiv:2304.04370v62023
A survey on datasets for fairness-aware machine learning
Tai Le Quy, Arjun Roy, Vasileios Iosifidis +2
cs.LGarXiv:2110.00530v32021

Every paper with a summary

MLPerf Tiny Benchmark

Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

Libcint: An efficient general integral library for Gaussian basis functions

Solving the Cold-Start Problem in Recommender Systems with Social Tags

On the Role of Age of Information in the Internet of Things

DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection

A mathematical theory of semantic development in deep neural networks

Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

Self-attention for raw optical Satellite Time Series Classification

Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

i-RevNet: Deep Invertible Networks

Efficient and robust analysis of complex scattering data under noise in microwave resonators

A Survey on 3D Gaussian Splatting

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

Particle Learning and Smoothing

Hand Pose Estimation via Latent 2.5D Heatmap Regression

Deep learning in nano-photonics: inverse design and beyond

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

Deep Projective 3D Semantic Segmentation

A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks

Large Language Models for Mathematical Reasoning: Progresses and Challenges

A Survey of Available Corpora for Building Data-Driven Dialogue Systems

Quantum Metropolis Sampling

Next Generation Terahertz Communications: A Rendezvous of Sensing, Imaging, and Localization

EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain

Ranking with Fairness Constraints

Detecting network communities by propagating labels under constraints

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis

Real-World Robot Learning with Masked Visual Pre-training

Coherence and elicitability

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Clinically Accurate Chest X-Ray Report Generation

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

The Pose Knows: Video Forecasting by Generating Pose Futures

Data Selection for Language Models via Importance Resampling

Layer-adaptive sparsity for the Magnitude-based Pruning

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting

Self-supervised ECG Representation Learning for Emotion Recognition

Understanding and Improving Fast Adversarial Training

Proximal Methods for Hierarchical Sparse Coding

A differential Lyapunov framework for contraction analysis

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

Computing in Operations Research using Julia

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

FermiSurfer: Fermi-surface viewer providing multiple representation schemes

Random Forests for Big Data

Synthetic Dimension in Photonics

Recurrence-based time series analysis by means of complex network methods

Constrained Sparse Galerkin Regression

Machine Learning for Electronic Design Automation: A Survey

From BoW to CNN: Two Decades of Texture Representation for Texture Classification

Generating Sequences by Learning to Self-Correct

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

OpenAGI: When LLM Meets Domain Experts

A survey on datasets for fairness-aware machine learning