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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58,561 to 58,620 of 115,081

Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu +8
physics.ins-detcs.CVphysics.app-pharXiv:2001.10695v12020
RENOIR - A Dataset for Real Low-Light Image Noise Reduction
Josue Anaya, Adrian Barbu
cs.CVarXiv:1409.8230v92014
{\Delta}WAM: Distilling Action Tangent Fields into World Action Models
Ke Wu, Hanwen Huang, Bo Gu +6
cs.ROarXiv:2610.09734v12026
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks
Wenwen Yu, Ning Lu, Xianbiao Qi +2
cs.CVarXiv:2004.07464v32020
Deep Learning with Coherent VCSEL Neural Networks
Zaijun Chen, Alexander Sludds, Ronald Davis +8
cs.ETphysics.opticsarXiv:2207.05329v12022
Exact Gaussian Processes on a Million Data Points
Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner +3
cs.LGcs.DCstat.MLarXiv:1903.08114v22019
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise
Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci +3
cs.CVcs.LGarXiv:2106.09788v12021
When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing
Yufeng Wang
cs.AIcs.CLarXiv:2609.28475v12026
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Lisa Schut, Oscar Key, Rory McGrath +4
cs.LGstat.AParXiv:2103.08951v12021
The Turking Test: Can Language Models Understand Instructions?
Avia Efrat, Omer Levy
cs.CLcs.AIcs.LGarXiv:2010.11982v12020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio +3
cs.ARcs.LGarXiv:2012.11233v12020
Predicting Team Performance from Communications in Simulated Search-and-Rescue
Ali Jalal-Kamali, Nikolos Gurney, David Pynadath
cs.AIcs.CLarXiv:2503.03791v12025
Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods
Eric Chung, Yalchin Efendiev, Thomas Y. Hou
math.NAarXiv:1604.08312v12016
Barbarians at the Gate: How AI is Upending Systems Research
Audrey Cheng, Shu Liu, Melissa Pan +14
cs.AIarXiv:2510.06189v32025
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
Xiaogeng Liu, Peiran Li, Edward Suh +7
cs.CRcs.AIcs.LGarXiv:2410.05295v42024
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Xianjie Wu, Jian Yang, Linzheng Chai +10
cs.CLarXiv:2408.09174v22024
A survey of graphical languages for monoidal categories
Peter Selinger
math.CTarXiv:0908.3347v12009
LIMA: Less Is More for Alignment
Chunting Zhou, Pengfei Liu, Puxin Xu +12
cs.CLcs.AIcs.LGarXiv:2305.11206v12023
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan, Milad Hashemi, Kevin Swersky +2
cs.LGarXiv:2102.06462v82021
Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems
M. Rosvall, C. T. Bergstrom
physics.soc-phcs.SIphysics.comp-pharXiv:1010.0431v22010
WoE Wrote It? Watermarking Mixture-of-Experts LLMs for Black-Box Text Provenance
Jona te Lintelo, Lichao Wu, Stjepan Picek
cs.CRarXiv:2608.29151v12026
Training and Evaluating Ethical Reinforcement Learning Agents on Per-Episode Distributions
Prabhjyot Singh, Majid Ghasemi, Mark Crowley
cs.LGarXiv:2608.14642v12026
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang +2
cs.CVcs.LGarXiv:1803.01837v12018
Nonparametric Bayes Modeling of Populations of Networks
Daniele Durante, David B. Dunson, Joshua T. Vogelstein
stat.MEarXiv:1406.7851v32014
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Woong Bae, Jaejun Yoo, Jong Chul Ye
cs.CVarXiv:1611.06345v42016
Investigating the topology of interacting networks - Theory and application to coupled climate subnetworks
Jonathan F. Donges, Hanna C. H. Schultz, Norbert Marwan +2
physics.data-ancs.SIphysics.ao-pharXiv:1102.3067v12011
Harnessing Large Vision and Language Models in Agriculture: A Review
Hongyan Zhu, Shuai Qin, Min Su +3
cs.CVcs.AIarXiv:2407.19679v12024
Addressable Memory for Video World Models
Xindi Wu, Sven Elflein, James Lucas +5
cs.CVcs.LGarXiv:2608.07408v12026
Fair Generative Modeling via Weak Supervision
Kristy Choi, Aditya Grover, Trisha Singh +2
cs.LGcs.CVstat.MLarXiv:1910.12008v22019
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai +2
cs.CVarXiv:2203.01502v22022
Local Implicit Grid Representations for 3D Scenes
Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia +3
cs.CVcs.CGcs.LGarXiv:2003.08981v12020
From Spectrum Regulation to Computational Enforcement: An Auditable Governance Architecture for Adaptive Spectrum Sharing
Navaneetha Krishnan Kamalakannan, Harinisri Velmurugan
cs.CRcs.ITcs.NIarXiv:2609.29571v12026
A generalized power iteration method for solving quadratic problem on the Stiefel manifold
Feiping Nie, Rui Zhang, Xuelong Li
cs.DSarXiv:1701.00381v12017
Decoding Neural Population Dynamics through Robotic Analog
Wenhui Chen, Jiyue Tao, Yitao Cheng +4
cs.ROarXiv:2610.09977v12026
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
Howard Chen, Alane Suhr, Dipendra Misra +2
cs.CVcs.AIcs.CLarXiv:1811.12354v72018
Attention, Learn to Solve Routing Problems!
Wouter Kool, Herke van Hoof, Max Welling
stat.MLcs.LGarXiv:1803.08475v32018
On the qubit routing problem
Alexander Cowtan, Silas Dilkes, Ross Duncan +3
quant-phcs.DScs.PLarXiv:1902.08091v22019
LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis +5
cs.CLcs.AIcs.LGarXiv:2106.09685v22021
AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning
Yuanfu Sun, Kang Li, Dongzhe Fan +2
cs.CLarXiv:2604.05846v22026
ChemCrow: Augmenting large-language models with chemistry tools
Andres M Bran, Sam Cox, Oliver Schilter +3
physics.chem-phstat.MLarXiv:2304.05376v52023
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov +9
cs.CVcs.AIcs.LGarXiv:2010.11929v22020
A Comparison of 10 Sampling Algorithms for Configurable Systems
Flávio Medeiros, Christian Kästner, Márcio Ribeiro +2
cs.SEarXiv:1602.02052v32016
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller, Vincent Aravantinos, Florian Lay +1
cs.CVcs.LGcs.ROarXiv:1903.07933v32019
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao, Xiang Zhang, Suhang Wang
cs.LGarXiv:2103.08826v12021
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
Zhun Fan, Yi Fang, Wenji Li +3
cs.NEarXiv:1802.03608v12018
GridMM: Grid Memory Map for Vision-and-Language Navigation
Zihan Wang, Xiangyang Li, Jiahao Yang +2
cs.CVcs.AIarXiv:2307.12907v42023
Concentration and regularization of random graphs
Can M. Le, Elizaveta Levina, Roman Vershynin
math.PRcs.SImath.STarXiv:1506.00669v22015
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
Ruoxi Wang, Rakesh Shivanna, Derek Z. Cheng +4
cs.IRcs.LGstat.MLarXiv:2008.13535v22020
A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees
Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam
stat.MEstat.COstat.MLarXiv:1307.5381v32013
Variational Autoencoders for Collaborative Filtering
Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman +1
stat.MLcs.IRcs.LGarXiv:1802.05814v12018
Experimental quantum adversarial learning with programmable superconducting qubits
Wenhui Ren, Weikang Li, Shibo Xu +21
quant-phcond-mat.dis-nncs.AIarXiv:2204.01738v12022
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi +11
cs.IRcs.AIarXiv:2306.05817v62023
Functional Analysis Attacks on Logic Locking
Deepak Sirone, Pramod Subramanyan
cs.CRarXiv:1811.12088v32018
Visual Agents as Fast and Slow Thinkers
Guangyan Sun, Mingyu Jin, Zhenting Wang +7
cs.LGarXiv:2408.08862v42024
Mechanizing Typed Regulatory Actions for Security Tokens: Semantics, Falsification, and Bounded EVM Evidence
Jinwook Kim
cs.CRcs.LOarXiv:2608.29134v32026
Robust Discretization of Flow in Fractured Porous Media
Wietse M. Boon, Jan M. Nordbotten, Ivan Yotov
math.NAcs.NAarXiv:1601.06977v22016
Imitating Latent Policies from Observation
Ashley D. Edwards, Himanshu Sahni, Yannick Schroecker +1
cs.LGstat.MLarXiv:1805.07914v32018
NumBench: Diagnosing Counting Failures in Text-to-Image Models
Sandeep Wadhwa, Mayank Vatsa, Richa Singh +2
cs.CVcs.DBarXiv:2608.28206v12026
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models
Go Inoue, Bashar Alhafni, Nurpeiis Baimukan +2
cs.CLarXiv:2103.06678v22021
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati, Daisy Yi Ding +4
cs.LGstat.MLarXiv:1910.03225v42019

Every paper with a summary

Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning

RENOIR - A Dataset for Real Low-Light Image Noise Reduction

{\Delta}WAM: Distilling Action Tangent Fields into World Action Models

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

Deep Learning with Coherent VCSEL Neural Networks

Exact Gaussian Processes on a Million Data Points

Guided Integrated Gradients: An Adaptive Path Method for Removing Noise

When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing

Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties

The Turking Test: Can Language Models Understand Instructions?

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Predicting Team Performance from Communications in Simulated Search-and-Rescue

Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods

Barbarians at the Gate: How AI is Upending Systems Research

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

A survey of graphical languages for monoidal categories

LIMA: Less Is More for Alignment

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Multilevel compression of random walks on networks reveals hierarchical organization in large integrated systems

WoE Wrote It? Watermarking Mixture-of-Experts LLMs for Black-Box Text Provenance

Training and Evaluating Ethical Reinforcement Learning Agents on Per-Episode Distributions

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Nonparametric Bayes Modeling of Populations of Networks

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

Investigating the topology of interacting networks - Theory and application to coupled climate subnetworks

Harnessing Large Vision and Language Models in Agriculture: A Review

Addressable Memory for Video World Models

Fair Generative Modeling via Weak Supervision

NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation

Local Implicit Grid Representations for 3D Scenes

From Spectrum Regulation to Computational Enforcement: An Auditable Governance Architecture for Adaptive Spectrum Sharing

A generalized power iteration method for solving quadratic problem on the Stiefel manifold

Decoding Neural Population Dynamics through Robotic Analog

Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

Attention, Learn to Solve Routing Problems!

On the qubit routing problem

LoRA: Low-Rank Adaptation of Large Language Models

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning

ChemCrow: Augmenting large-language models with chemistry tools

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

A Comparison of 10 Sampling Algorithms for Configurable Systems

What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems

GridMM: Grid Memory Map for Vision-and-Language Navigation

Concentration and regularization of random graphs

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees

Variational Autoencoders for Collaborative Filtering

Experimental quantum adversarial learning with programmable superconducting qubits

How Can Recommender Systems Benefit from Large Language Models: A Survey

Functional Analysis Attacks on Logic Locking

Visual Agents as Fast and Slow Thinkers

Mechanizing Typed Regulatory Actions for Security Tokens: Semantics, Falsification, and Bounded EVM Evidence

Robust Discretization of Flow in Fractured Porous Media

Imitating Latent Policies from Observation

NumBench: Diagnosing Counting Failures in Text-to-Image Models

The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models

NGBoost: Natural Gradient Boosting for Probabilistic Prediction