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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4,441 to 4,500 of 61,350

A Case Study for Blockchain in Manufacturing: "FabRec": A Prototype for Peer-to-Peer Network of Manufacturing Nodes
Atin Angrish, Benjamin Craver, Mahmud Hasan +1
cs.CYarXiv:1804.01083v12018
KuaiRP Series Role-playing Models Technical Report
Yipeng Wang, Ziwei Zhang, Jiahui Zhang +2
cs.AIcs.CLarXiv:2609.11127v12026
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Xisuo Ma, Zhen Gao, Feifei Gao +1
cs.ITcs.AIcs.LGarXiv:2104.11052v32021
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors
Yiyang Wang, Neda Masoud, Anahita Khojandi
eess.SPstat.MLarXiv:1911.01531v22019
Beyond Solver Verdicts: Generative Reward Models for Autoformalization
Vikash Singh, Debargha Ganguly, Aman Goel +5
cs.LGcs.CLarXiv:2609.11085v12026
ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective
Alejo Jose G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela +1
cs.CYcs.AIarXiv:2304.11215v12023
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren +1
cs.CLcs.AIcs.HCarXiv:2401.06730v22024
Evolution of extortion in structured populations
Attila Szolnoki, Matjaz Perc
physics.soc-phcs.GTq-bio.PEarXiv:1401.8294v12014
A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement
Omprakash Patel, Yogendra P. S. Maravi, Sanjeev Sharma
cs.CVarXiv:1311.4033v12013
Forecasting Electricity Smart Meter Data Using Conditional Kernel Density Estimation
Siddharth Arora, James W. Taylor
stat.AParXiv:1409.2856v12014
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems
Alen Alexanderian, Noemi Petra, Georg Stadler +1
math.OCstat.COstat.MEarXiv:1410.5899v22014
Unbiased split variable selection for random survival forests using maximally selected rank statistics
Marvin N. Wright, Theresa Dankowski, Andreas Ziegler
stat.MLcs.LGarXiv:1605.03391v22016
Efficient Certified RAT Verification
Luís Cruz-Filipe, Marijn Heule, Warren Hunt +2
cs.LOarXiv:1612.02353v22016
New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models
Sourajit Saha, Shubhashis Roy Dipta, Nobin Sarwar +4
cs.CVcs.AIcs.CLarXiv:2609.11022v12026
Distributed inference for quantile regression processes
Stanislav Volgushev, Shih-Kang Chao, Guang Cheng
math.STstat.MEarXiv:1701.06088v32017
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training
Yuyin Zhou, Yan Wang, Peng Tang +4
cs.CVarXiv:1804.02586v32018
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment
Yingjun Ye, Xiaohui Zhang, Jian Sun
cs.AIarXiv:1804.06264v12018
Future developments in cyber risk assessment for the internet of things
Petar Radanliev, David Charles De Roure, Razvan Nicolescu +4
cs.CYarXiv:1809.05229v12018
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
cs.CVarXiv:1903.00343v12019
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
Shulei Ji, Jing Luo, Xinyu Yang
cs.SDcs.LGeess.ASarXiv:2011.06801v12020
Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2
William Novak, Muhammad Abusaqer
cs.CRcs.CLcs.LGarXiv:2609.10935v12026
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances
Meisam Razaviyayn, Tianjian Huang, Songtao Lu +3
math.OCcs.LGstat.MLarXiv:2006.08141v22020
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model
Hind Saleh, Areej Alhothali, Kawthar Moria
cs.CLarXiv:2111.01515v12021
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris +1
cs.ARcs.LGarXiv:2203.08737v12022
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu, Xiangfei Qiu, Zhengyu Li +5
cs.LGcs.AIarXiv:2410.12261v52024
Intuitionistic Neutrosophic Soft Set
Broumi Said, Florentin Smarandache
cs.OHarXiv:1311.3562v12013
A Strictly Single-Site DMRG Algorithm with Subspace Expansion
Claudius Hubig, Ian P. McCulloch, Ulrich Schollwöck +1
cond-mat.str-elarXiv:1501.05504v22015
Studying Without a Syllabus: Task-Agnostic Environment Preprocessing
Vinay Samuel, Varun Ursekar, Vijay S. Kalmath +3
cs.AIcs.CLcs.LGarXiv:2609.10824v12026
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
Marco Gaboardi, Hyun woo Lim, Ryan Rogers +1
math.STcs.CRarXiv:1602.03090v22016
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
Chaitanya Kaul, Suresh Manandhar, Nick Pears
cs.CVarXiv:1902.03091v12019
Online Learning with an Unknown Fairness Metric
Stephen Gillen, Christopher Jung, Michael Kearns +1
cs.LGarXiv:1802.06936v22018
Multiphase Flow Modelling in Multiscale Porous Media: An Open-Sourced Micro-Continuum Approach
Francisco J. Carrillo, Ian C. Bourg, Cyprien Soulaine
physics.comp-phphysics.flu-dynarXiv:2003.08374v12020
Virtual Reality for Emotion Elicitation -- A Review
Rukshani Somarathna, Tomasz Bednarz, Gelareh Mohammadi
cs.HCarXiv:2111.04461v12021
The Random Feature Model for Input-Output Maps between Banach Spaces
Nicholas H. Nelsen, Andrew M. Stuart
math.NAcs.LGphysics.comp-pharXiv:2005.10224v22020
The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth Probes
Dylan Jayabahu
cs.LGcs.AIcs.CLarXiv:2609.10739v12026
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection
Zhiqiang Yang, Qiu Guan, Keer Zhao +4
cs.CVcs.AIarXiv:2407.04381v12024
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch
Lionel Pibre, Pasquet Jérôme, Dino Ienco +1
cs.MMcs.CVcs.LGarXiv:1511.04855v22015
The fully nonconforming virtual element method for biharmonic problems
P. F. Antonietti, G. Manzini, M. Verani
math.NAarXiv:1611.08736v12016
KVT: k-NN Attention for Boosting Vision Transformers
Pichao Wang, Xue Wang, Fan Wang +4
cs.CVarXiv:2106.00515v32021
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
Erdem Bıyık, Dylan P. Losey, Malayandi Palan +3
cs.ROcs.AIcs.LGarXiv:2006.14091v22020
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zonglin Li, Chong You, Srinadh Bhojanapalli +8
cs.LGcs.CLcs.CVarXiv:2210.06313v22022
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features
Milad Salem, Shayan Taheri, Jiann Shiun-Yuan
cs.LGcs.CVstat.MLarXiv:1812.04693v12018
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
Peiliang Li, Tong Qin, Shaojie Shen
cs.CVarXiv:1807.02062v32018
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse
Moayad Aloqaily, Ouns Bouachir, Fakhri Karray +2
cs.HCcs.AIarXiv:2210.04606v12022
Phase retrieval with polarization
Boris Alexeev, Afonso S. Bandeira, Matthew Fickus +1
cs.ITmath.FAarXiv:1210.7752v22012
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Tao Shen, Tianyi Zhou, Guodong Long +2
cs.CLcs.AIarXiv:1804.00857v12018
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy
Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon +6
physics.med-phcs.CVarXiv:2303.16320v12023
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Minzheng Wang, Longze Chen, Cheng Fu +11
cs.CLcs.AIarXiv:2406.17419v22024
IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing
Pruthwik Mishra, Rudra Trivedi, Avi Patel +2
cs.CLarXiv:2609.11851v12026
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Juergen Schmidhuber
cs.AIcs.LGarXiv:1912.02875v22019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
cs.AIcs.LGcs.ROarXiv:1907.09620v32019
Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models
Raad Bin Tareaf, Murad Al-Rajab, Samia Loucif +2
cs.CLarXiv:2609.11838v12026
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson, Hai Hu, Lawrence S. Moss +1
cs.CLarXiv:1909.07521v22019
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu +2
cs.CVcs.AIcs.LGarXiv:2312.02139v32023
Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech
Chibuzor Okocha, Christan Earl Grant
cs.CLcs.AIarXiv:2609.11786v12026
QIP = PSPACE
Rahul Jain, Zhengfeng Ji, Sarvagya Upadhyay +1
quant-pharXiv:0907.4737v22009
Clinical Intervention Prediction and Understanding using Deep Networks
Harini Suresh, Nathan Hunt, Alistair Johnson +3
cs.LGarXiv:1705.08498v12017
Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture
Erfan Zangeneh, Mohammad Rahmati, Yalda Mohsenzadeh
cs.CVarXiv:1706.06247v12017
Joint Energy Efficient and QoS-aware Path Allocation and VNF Placement for Service Function Chaining
Mohammad M. Tajiki, Stefano Salsano, Luca Chiaraviglio +2
cs.NIarXiv:1710.02611v72017
Format Abstraction for Sparse Tensor Algebra Compilers
Stephen Chou, Fredrik Kjolstad, Saman Amarasinghe
cs.MScs.PLarXiv:1804.10112v22018

Every paper with a summary

A Case Study for Blockchain in Manufacturing: "FabRec": A Prototype for Peer-to-Peer Network of Manufacturing Nodes

KuaiRP Series Role-playing Models Technical Report

Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems

Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors

Beyond Solver Verdicts: Generative Reward Models for Autoformalization

ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty

Evolution of extortion in structured populations

A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement

Forecasting Electricity Smart Meter Data Using Conditional Kernel Density Estimation

A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems

Unbiased split variable selection for random survival forests using maximally selected rank statistics

Efficient Certified RAT Verification

New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models

Distributed inference for quantile regression processes

Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training

Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment

Future developments in cyber risk assessment for the internet of things

Octree guided CNN with Spherical Kernels for 3D Point Clouds

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

Empirical Evaluation of Membership Inference Attacks on NLP Text Classifiers: A Baseline Study on SST-2

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances

Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model

Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey

CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching

Intuitionistic Neutrosophic Soft Set

A Strictly Single-Site DMRG Algorithm with Subspace Expansion

Studying Without a Syllabus: Task-Agnostic Environment Preprocessing

Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation

Online Learning with an Unknown Fairness Metric

Multiphase Flow Modelling in Multiscale Porous Media: An Open-Sourced Micro-Continuum Approach

Virtual Reality for Emotion Elicitation -- A Review

The Random Feature Model for Input-Output Maps between Banach Spaces

The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth Probes

Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection

Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch

The fully nonconforming virtual element method for biharmonic problems

KVT: k-NN Attention for Boosting Vision Transformers

Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers

ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features

Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving

Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse

Phase retrieval with polarization

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling

SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing

Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning

Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models

Probing Natural Language Inference Models through Semantic Fragments

DiffiT: Diffusion Vision Transformers for Image Generation

Beyond Word Error Rate: A Switch Aware Evaluation of ASR and Audio Language Models on English Yoruba Code-Switched Speech

QIP = PSPACE

Clinical Intervention Prediction and Understanding using Deep Networks

Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture

Joint Energy Efficient and QoS-aware Path Allocation and VNF Placement for Service Function Chaining

Format Abstraction for Sparse Tensor Algebra Compilers