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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99,061 to 99,120 of 101,945

Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé +2
cs.HCcs.CYcs.LGarXiv:1812.05239v22018
Automated software vulnerability detection with machine learning
Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell +13
cs.SEcs.LGstat.MLarXiv:1803.04497v22018
The State of Speech in HCI: Trends, Themes and Challenges
Leigh Clark, Phillip Doyle, Diego Garaialde +7
cs.HCarXiv:1810.06828v12018
Decentralized Applications: The Blockchain-Empowered Software System
Wei Cai, Zehua Wang, Jason B. Ernst +3
cs.DCcs.CRcs.CYarXiv:1810.05365v12018
MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
cs.LGcs.AIstat.MLarXiv:1809.02499v32018
Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
Tomek Korbak, Mikita Balesni, Elizabeth Barnes +38
cs.AIcs.LGstat.MLarXiv:2507.11473v22025
Orthogonal Time Frequency Space Modulation
Ronny Hadani, Shlomo Rakib, Shachar Kons +8
cs.ITarXiv:1808.00519v12018
Robust Registration of Calcium Images by Learned Contrast Synthesis
John A. Bogovic, Philipp Hanslovsky, Allan Wong +1
cs.CVarXiv:1511.01154v12015
Deep learning in radiology: an overview of the concepts and a survey of the state of the art
Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha +1
cs.CVcs.LGstat.AParXiv:1802.08717v12018
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2
cs.LGcs.AIcs.CVarXiv:1711.04708v12017
Deep Learning in Robotics: A Review of Recent Research
Harry A. Pierson, Michael S. Gashler
cs.ROarXiv:1707.07217v12017
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1704.02532v12017
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Haoyu Fu, Diankun Zhang, Zongchuang Zhao +7
cs.CVarXiv:2503.19755v12025
Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing
Ling-Wei Kong, Ying-Cheng Lai
nlin.CDcs.LGarXiv:2609.01914v12026
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry +1
cs.SDcs.LGeess.ASarXiv:2101.08596v12021
LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference
Yuhan Liu, Yihua Cheng, Jiayi Yao +8
cs.LGarXiv:2510.09665v22025
A Practical Quantum Instruction Set Architecture
Robert S. Smith, Michael J. Curtis, William J. Zeng
quant-phcs.ETcs.PLarXiv:1608.03355v22016
Interactive Perception: Leveraging Action in Perception and Perception in Action
Jeannette Bohg, Karol Hausman, Bharath Sankaran +4
cs.ROarXiv:1604.03670v32016
BioNetGen 2.2: Advances in Rule-Based Modeling
Leonard A. Harris, Justin S. Hogg, Jose-Juan Tapia +7
q-bio.QMq-bio.MNarXiv:1507.03572v22015
Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS
Páll Szilárd, Mark James Abraham, Carsten Kutzner +2
cs.CEarXiv:1506.00716v12015
Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting
Jakub Konečný, Jie Liu, Peter Richtárik +1
cs.LGstat.MLarXiv:1504.04407v22015
S-matrix informed neural networks for amplitude analysis
Wyatt A. Smith, Arkaitz Rodas, Marius D. Thomas +5
hep-phcs.LGnucl-tharXiv:2608.23750v12026
Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors
Deliang Wei, Evan Bell, Wenhan Guo +2
cs.LGarXiv:2608.17666v12026
NFV: State of the Art, Challenges and Implementation in Next Generation Mobile Networks (vEPC)
Hassan Hawilo, Abdallah Shami, Maysam Mirahmadi +1
cs.NIarXiv:1409.4149v12014
Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale
Nisha Sarwar, Lei Jiang, Fan Chen
cs.DCcs.AIarXiv:2608.14557v12026
Continual Evolution Strategies in Control Tasks
Nicola Pitzalis, Eleni Nisioti, Antonio Carta +2
cs.NEcs.LGarXiv:2608.13600v12026
ID-V2V: Identity-Preserving Video Restylization
Yuancheng Xu, Mingming He, Pablo Salamanca +5
cs.CVarXiv:2607.22830v12026
A swarm optimization algorithm inspired in the behavior of the social-spider
Erik Cuevas, Miguel Cienfuegos, Daniel Zaldivar +1
cs.NEarXiv:1406.3282v12014
Redesign Mixture-of-Experts Routers with Manifold Power Iteration
Songhao Wu, Ang Lv, Ruobing Xie +1
cs.LGcs.AIcs.CLarXiv:2606.12397v12026
Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents
Yingqi Zhang
cs.OScs.AIcs.CRarXiv:2606.03895v22026
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
Vincent Koc, Patrick Erichsen, Jacob Tomlinson +3
cs.CRcs.AIcs.SEarXiv:2606.01494v12026
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
Shu Wan, Abhinav Gorantla, Huan Liu +1
cs.LGcs.AIstat.MEarXiv:2605.29411v22026
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
Yifan Zeng, Yiran Wu, Yaolun Zhang +4
cs.AIcs.LGarXiv:2605.24202v22026
Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws
Nandan Kumar Jha, Brandon Reagen
cs.LGarXiv:2605.21803v12026
$p1$: Better Prompt Optimization with Fewer Prompts
Zhaolin Gao, Yu, Wang +4
cs.LGcs.CLarXiv:2604.08801v12026
SARAH: Spatially Aware Real-time Agentic Humans
Evonne Ng, Siwei Zhang, Zhang Chen +2
cs.CVarXiv:2602.18432v12026
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +5
cs.CVcs.LGarXiv:2204.11823v12022
The opportunities and risks of large language models in mental health
Hannah R. Lawrence, Renee A. Schneider, Susan B. Rubin +3
cs.CLcs.AIcs.CYarXiv:2403.14814v32024
Deep Impact: Unintended consequences of journal rank
Björn Brembs, Marcus Munafò
cs.DLphysics.soc-phstat.OTarXiv:1301.3748v32013
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
Guido Zarrella, Amy Marsh
cs.AIcs.CLarXiv:1606.03784v12016
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Hardy Chen, Haoqin Tu, Fali Wang +5
cs.CLarXiv:2504.11468v12025
SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications
Mengyao Zhao, Wan-Ping Lee, Erik Garrison +1
q-bio.GNarXiv:1208.6350v22012
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing
Simon Shillaker, Peter Pietzuch
cs.DCarXiv:2002.09344v22020
Beyond citations: Scholars' visibility on the social Web
Judit Bar-Ilan, Stefanie Haustein, Isabella Peters +3
cs.DLcs.SIphysics.soc-pharXiv:1205.5611v12012
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
Chris Donahue, Bo Li, Rohit Prabhavalkar
cs.SDcs.LGcs.NEarXiv:1711.05747v22017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8
cs.CVcs.AIcs.LGarXiv:1711.01468v12017
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
cs.CVcs.AIcs.LGarXiv:1710.05381v22017
Multi-task Self-Supervised Visual Learning
Carl Doersch, Andrew Zisserman
cs.CVarXiv:1708.07860v12017
On Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data
Joseph W. Richards, Dan L. Starr, Nathaniel R. Butler +6
astro-ph.IMstat.AParXiv:1101.1959v12011
Iterative Approximate Byzantine Consensus in Arbitrary Directed Graphs
Nitin Vaidya, Lewis Tseng, Guanfeng Liang
cs.DCarXiv:1201.4183v22012
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Bangjie Yin, Wenxuan Wang, Taiping Yao +5
cs.CVarXiv:2105.03162v12021
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
Shams Nafisa Ali, Md. Tazuddin Ahmed, Joydip Paul +4
cs.CVcs.AIeess.IVarXiv:2207.03342v12022
Solaris: Towards Interfaces That Are Generated, Not Coded
Yuval Alaluf, Omri Avrahami, Guy Bukchin Leshem +18
cs.CVcs.AIarXiv:2609.00776v12026
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
Nicolas Dobigeon, Said Moussaoui, Martial Coulon +2
physics.data-anarXiv:0903.3060v12009
The Murchison Widefield Array: Design Overview
Colin J. Lonsdale, Roger J. Cappallo, Miguel F. Morales +45
astro-ph.IMastro-ph.COastro-ph.SRarXiv:0903.1828v12009
Video2Reaction: Training Foundation Video Models to Predict Audience Reaction
Sidong Zhang, Trang Nguyen, Shiv Shankar +4
cs.CVarXiv:2609.01816v12026
Instella-MoE Technical Report
Jiang Liu, Sudhanshu Ranjan, Prakamya Mishra +10
cs.CLcs.AIarXiv:2609.00791v12026
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
Olivier Catoni
stat.MLarXiv:0712.0248v12007
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22
cs.DCarXiv:1711.09123v22017
Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI
Shang Lu
cs.AIcs.CYarXiv:2609.01685v12026

Every paper with a summary

Improving fairness in machine learning systems: What do industry practitioners need?

Automated software vulnerability detection with machine learning

The State of Speech in HCI: Trends, Themes and Challenges

Decentralized Applications: The Blockchain-Empowered Software System

MixUp as Locally Linear Out-Of-Manifold Regularization

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Orthogonal Time Frequency Space Modulation

Robust Registration of Calcium Images by Learned Contrast Synthesis

Deep learning in radiology: an overview of the concepts and a survey of the state of the art

Machine Learning for the Geosciences: Challenges and Opportunities

Deep Learning in Robotics: A Review of Recent Research

Deep Reinforcement Learning framework for Autonomous Driving

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing

LEAF: A Learnable Frontend for Audio Classification

LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference

A Practical Quantum Instruction Set Architecture

Interactive Perception: Leveraging Action in Perception and Perception in Action

BioNetGen 2.2: Advances in Rule-Based Modeling

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

S-matrix informed neural networks for amplitude analysis

Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors

NFV: State of the Art, Challenges and Implementation in Next Generation Mobile Networks (vEPC)

Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale

Continual Evolution Strategies in Control Tasks

ID-V2V: Identity-Preserving Video Restylization

A swarm optimization algorithm inspired in the behavior of the social-spider

Redesign Mixture-of-Experts Routers with Manifold Power Iteration

Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents

ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs

Same Architecture, Different Capacity: Optimizer-Induced Spectral Scaling Laws

$p1$: Better Prompt Optimization with Fewer Prompts

SARAH: Spatially Aware Real-time Agentic Humans

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

The opportunities and risks of large language models in mental health

Deep Impact: Unintended consequences of journal rank

MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection

SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Beyond citations: Scholars' visibility on the social Web

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

A systematic study of the class imbalance problem in convolutional neural networks

Multi-task Self-Supervised Visual Learning

On Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data

Iterative Approximate Byzantine Consensus in Arbitrary Directed Graphs

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

Solaris: Towards Interfaces That Are Generated, Not Coded

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery

The Murchison Widefield Array: Design Overview

Video2Reaction: Training Foundation Video Models to Predict Audience Reaction

Instella-MoE Technical Report

Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI