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.

Search paper metadata (including unsummarized papers)

42,481 to 42,540 of 61,393

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger +1
cs.CVarXiv:1911.04623v22019
A Unified Framework for the Mechanics of Information in Convolutional Neural Network Image Space
Aryan Shukla, Matthew Toews
cs.CVarXiv:2608.26363v12026
SchNetPack: A Deep Learning Toolbox For Atomistic Systems
K. T. Schütt, P. Kessel, M. Gastegger +3
physics.comp-phphysics.chem-pharXiv:1809.01072v12018
Comparing Chunking and Embedding Strategies for Turkish RAG Systems
Mustafa Sertaç Türkel, Fatma Nur Korkmaz, Ahmet Tuğrul Bayrak
cs.CLcs.AIarXiv:2608.26192v12026
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
Francesco Ciompi, Kaman Chung, Sarah J. van Riel +10
cs.CVarXiv:1610.09157v22016
Associating Objects with Transformers for Video Object Segmentation
Zongxin Yang, Yunchao Wei, Yi Yang
cs.CVarXiv:2106.02638v32021
Text-to-3D using Gaussian Splatting
Zilong Chen, Feng Wang, Yikai Wang +1
cs.CVarXiv:2309.16585v42023
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur +11
cs.CVarXiv:1702.07841v12017
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg +9
cs.ROcs.AIcs.LGarXiv:1811.02790v12018
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Bolin Gao, Lacra Pavel
math.OCcs.LGarXiv:1704.00805v42017
Multi-Dataset Inverse Problem Solving with Distributed Generative AI
Daniel Lersch, Steven Goldenberg, Johann Rudi +5
cs.DCcs.LGarXiv:2608.26283v12026
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
cs.CVarXiv:2106.05210v22021
Uncovering Biological Network Function via Graphlet Degree Signatures
Tijana Milenkovic, Natasa Przulj
q-bio.MNarXiv:0802.0556v12008
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning
Yair Rivenson, Tairan Liu, Zhensong Wei +2
eess.IVcs.CVphysics.med-pharXiv:1807.07701v12018
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig, Ali Madani, Lav R. Varshney +3
cs.CLcs.LGq-bio.BMarXiv:2006.15222v32020
A Survey on Food Computing
Weiqing Min, Shuqiang Jiang, Linhu Liu +2
cs.CYcs.MMarXiv:1808.07202v52018
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Hongming Shan, Yi Zhang, Qingsong Yang +5
cs.CVarXiv:1802.05656v22018
Supersparse Linear Integer Models for Optimized Medical Scoring Systems
Berk Ustun, Cynthia Rudin
stat.MLcs.DMcs.LGarXiv:1502.04269v32015
Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms
Roan Rubiales, Jean Pierre David
cs.LGarXiv:2608.26233v12026
A Minorization-Maximization Method for Optimizing Sum Rate in Non-Orthogonal Multiple Access Systems
Muhammad Fainan Hanif, Zhiguo Ding, Tharmalingam Ratnarajah +1
cs.ITarXiv:1505.05735v12015
The Impact of Automated Parameter Optimization on Defect Prediction Models
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan +1
cs.SEarXiv:1801.10270v12018
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Xiangyu Zhao, Liang Zhang, Zhuoye Ding +3
cs.IRcs.LGstat.MLarXiv:1802.06501v32018
Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertility
Sajal Regmi, Siddhartha Pudasaini, Chetan Phakami Pun
cs.CLcs.LGarXiv:2608.26449v12026
Stochastic Optimization with Importance Sampling
Peilin Zhao, Tong Zhang
stat.MLcs.LGarXiv:1401.2753v22014
emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Ziyang Ma, Zhisheng Zheng, Jiaxin Ye +4
cs.CLcs.HCcs.MMarXiv:2312.15185v12023
Neural Codes for Image Retrieval
Artem Babenko, Anton Slesarev, Alexandr Chigorin +1
cs.CVarXiv:1404.1777v22014
Spec2Vision: Contract-Guided Delivery of AI-Generated Computer Vision Pipelines
Ghfran Jabour, Sergey Ivanov
cs.SEcs.PLarXiv:2608.26400v12026
Structure-Preserving Super Resolution with Gradient Guidance
Cheng Ma, Yongming Rao, Yean Cheng +3
eess.IVcs.CVarXiv:2003.13081v12020
Coded Caching with Nonuniform Demands
Urs Niesen, Mohammad Ali Maddah-Ali
cs.ITcs.NIarXiv:1308.0178v42013
Laplacian Support Vector Machines Trained in the Primal
Stefano Melacci, Mikhail Belkin
stat.MLarXiv:0909.5422v12009
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Yi Wang, Kunchang Li, Xinhao Li +17
cs.CVarXiv:2403.15377v42024
Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security
Jie Chen, Ying-Chang Liang, Yiyang Pei +1
eess.SParXiv:1905.03689v22019
Investigating Software Aging in LLM-Generated Software Systems across Generation-and-Execution Environments
Cesar Santos, Michele Vitagliano, Roberto Natella +1
cs.SEarXiv:2608.26391v12026
On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks
Elham Kalantari, Halim Yanikomeroglu, Abbas Yongacoglu
cs.NIarXiv:1804.08415v12018
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu +2
cs.LGcs.AIcs.NEarXiv:1802.07245v12018
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources
Qi Wu, Peng Wang, Chunhua Shen +2
cs.CVarXiv:1511.06973v22015
Deblurring via Stochastic Refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi +3
cs.CVeess.IVarXiv:2112.02475v22021
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou, Ziqing Ma, Xue wang +5
cs.LGstat.MLarXiv:2205.08897v42022
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields
Antoni Rosinol, John J. Leonard, Luca Carlone
cs.CVarXiv:2210.13641v12022
Refutation of the Non-Cancelling-Intersections Conjecture
Hermann Wilhelm
math.COcs.DMarXiv:2608.27416v12026
External Validity: From Do-Calculus to Transportability Across Populations
Judea Pearl, Elias Bareinboim
stat.MEcs.AIarXiv:1503.01603v12015
Sub-channel Assignment, Power Allocation and User Scheduling for Non-Orthogonal Multiple Access Networks
Boya Di, Lingyang Song, Yonghui Li
cs.NIcs.ITarXiv:1608.08313v12016
Annotating Object Instances with a Polygon-RNN
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun +1
cs.CVarXiv:1704.05548v12017
Data Mining: A prediction for performance improvement using classification
Brijesh Kumar Bhardwaj, Saurabh Pal
cs.IRarXiv:1201.3418v12012
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian-Eugen Ganea, Lagnajit Pattanaik +2
q-bio.BMcs.LGarXiv:2202.05146v42022
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, Zachary Charles +3
stat.MLcs.DCcs.LGarXiv:1806.04090v32018
VPP: Virtual Pipeline Parallelism for Efficient Chunked Prefill in Long-Context LLM Inference
Yan Shi, Xiaochao Wang, Jingchun Gao +7
cs.DCarXiv:2608.26523v12026
Towards Reproducible Evaluation of Distributed Quantum Circuit Partitioning Algorithms
Javier Vela-Tambo, Davud Azizov, Tian Guo
quant-phcs.DCarXiv:2608.27099v12026
MotionBERT: A Unified Perspective on Learning Human Motion Representations
Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu +3
cs.CVarXiv:2210.06551v52022
Searching in one billion vectors: re-rank with source coding
Hervé Jégou, Romain Tavenard, Matthijs Douze +1
cs.IRcs.CVarXiv:1102.3828v12011
Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties
Yang Li, Zhen Yang, Guoqing Li +2
eess.SPmath.OCarXiv:1808.05691v12018
Simulation Approaches to General Probabilistic Inference on Belief Networks
Ross D. Shachter, Mark Alan Peot
cs.AIarXiv:1304.1526v12013
A Catalog of User Authentication Patterns
Alex R. Mattukat, Horst Lichter
cs.CRcs.SEarXiv:2608.26955v12026
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu, Jindong Wang, Yiqiang Chen +1
cs.LGstat.MLarXiv:1909.08184v12019
Risk bounds for statistical learning
Pascal Massart, Élodie Nédélec
math.STarXiv:math/0702683v12007
Hierarchical Federated Learning Across Heterogeneous Cellular Networks
Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gunduz +1
cs.LGcs.DCcs.ITarXiv:1909.02362v12019
Perceptual Adversarial Networks for Image-to-Image Transformation
Chaoyue Wang, Chang Xu, Chaohui Wang +1
cs.CVarXiv:1706.09138v22017
Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods
Xiaobai Li, Xiaopeng Hong, Antti Moilanen +4
cs.CVarXiv:1511.00423v22015
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version)
Axel Feldmann, Nikola Samardzic, Aleksandar Krastev +6
cs.CRcs.ARarXiv:2109.05371v22021
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
Chuang Gan, Jeremy Schwartz, Seth Alter +21
cs.CVcs.GRcs.LGarXiv:2007.04954v22020

Every paper with a summary

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

A Unified Framework for the Mechanics of Information in Convolutional Neural Network Image Space

SchNetPack: A Deep Learning Toolbox For Atomistic Systems

Comparing Chunking and Embedding Strategies for Turkish RAG Systems

Towards automatic pulmonary nodule management in lung cancer screening with deep learning

Associating Objects with Transformers for Video Object Segmentation

Text-to-3D using Gaussian Splatting

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning

Multi-Dataset Inverse Problem Solving with Distributed Generative AI

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Uncovering Biological Network Function via Graphlet Degree Signatures

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning

BERTology Meets Biology: Interpreting Attention in Protein Language Models

A Survey on Food Computing

3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network

Supersparse Linear Integer Models for Optimized Medical Scoring Systems

Pruning Binarized Neural Networks: A Dedicated Framework and Globally Weighted Algorithms

A Minorization-Maximization Method for Optimizing Sum Rate in Non-Orthogonal Multiple Access Systems

The Impact of Automated Parameter Optimization on Defect Prediction Models

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Vowel Signs Are Not Letters: A Pre-tokenization Ceiling on Multilingual Tokenizer Fertility

Stochastic Optimization with Importance Sampling

emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Neural Codes for Image Retrieval

Spec2Vision: Contract-Guided Delivery of AI-Generated Computer Vision Pipelines

Structure-Preserving Super Resolution with Gradient Guidance

Coded Caching with Nonuniform Demands

Laplacian Support Vector Machines Trained in the Primal

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security

Investigating Software Aging in LLM-Generated Software Systems across Generation-and-Execution Environments

On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks

Meta-Reinforcement Learning of Structured Exploration Strategies

Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources

Deblurring via Stochastic Refinement

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields

Refutation of the Non-Cancelling-Intersections Conjecture

External Validity: From Do-Calculus to Transportability Across Populations

Sub-channel Assignment, Power Allocation and User Scheduling for Non-Orthogonal Multiple Access Networks

Annotating Object Instances with a Polygon-RNN

Data Mining: A prediction for performance improvement using classification

EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction

ATOMO: Communication-efficient Learning via Atomic Sparsification

VPP: Virtual Pipeline Parallelism for Efficient Chunked Prefill in Long-Context LLM Inference

Towards Reproducible Evaluation of Distributed Quantum Circuit Partitioning Algorithms

MotionBERT: A Unified Perspective on Learning Human Motion Representations

Searching in one billion vectors: re-rank with source coding

Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties

Simulation Approaches to General Probabilistic Inference on Belief Networks

A Catalog of User Authentication Patterns

Transfer Learning with Dynamic Adversarial Adaptation Network

Risk bounds for statistical learning

Hierarchical Federated Learning Across Heterogeneous Cellular Networks

Perceptual Adversarial Networks for Image-to-Image Transformation

Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods

F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation