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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63,181 to 63,240 of 104,489

Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
Xianqi Wang, Gangwei Xu, Hao Jia +1
cs.CVarXiv:2403.00486v12024
Estimate then Predict: Convex Formulation for Travel Demand Forecasting
Youngseo Kim, Gioele Zardini, Samitha Samaranayake +1
cs.GTarXiv:2609.17919v12026
PrimSynth: An Agentic Approach to Discover, Validate, and Synthesize Exploit Primitives for Linux Kernel Vulnerabilities
Pengfei Wang, Anying Chen, Danjun Liu +2
cs.CRarXiv:2609.02647v12026
Finite-key analysis for measurement-device-independent quantum key distribution
Marcos Curty, Feihu Xu, Wei Cui +3
quant-pharXiv:1307.1081v22013
A Near-Linear Element Kernel for \(d\)-Hitting Set
Zimo Sheng, Mingyu Xiao
cs.DScs.CCarXiv:2609.06512v12026
Full-field laser-Doppler-vibrometry FRF dataset for a four-bolt aluminum plate under bolt-torque variation
Berkay Kullukcu, Dina Hannebauer
eess.SPeess.SYarXiv:2609.05378v12026
On Language Drift during RLVR Post-Training
Michael Sullivan, Alexander Koller
cs.LGcs.AIarXiv:2610.02015v12026
Multi-View Learning in the Presence of View Disagreement
C. Christoudias, Raquel Urtasun, Trevor Darrell
cs.LGstat.MLarXiv:1206.3242v12012
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
Weizhi Zhang, Yuanchen Bei, Liangwei Yang +15
cs.IRcs.AIarXiv:2501.01945v22025
Nonlinear normal modes and spectral submanifolds: Existence, uniqueness and use in model reduction
George Haller, Sten Ponsioen
math.DSnlin.PSarXiv:1602.00560v22016
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu, Brian Lester, Noah Constant +2
cs.CLarXiv:2110.07904v22021
Revisiting minimum description length complexity in overparameterized models
Raaz Dwivedi, Chandan Singh, Bin Yu +1
cs.LGcs.ITmath.STarXiv:2006.10189v42020
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such +3
cs.AIarXiv:1712.06560v32017
Beyond Local Linearity: Scale-Resolved Geometry of Learned Image Encoders
Jakub Szymkowiak, Wojtek Pałubicki, Kamil Adamczewski
cs.CVarXiv:2609.39115v12026
Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
Andy Zou, Maxwell Lin, Eliot Jones +14
cs.AIcs.CLcs.CYarXiv:2507.20526v12025
Fast-WAM: Do World Action Models Need Test-time Future Imagination?
Tianyuan Yuan, Zibin Dong, Yicheng Liu +1
cs.CVcs.AIarXiv:2603.16666v22026
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
Sandro A. Magalhães, Luís Castro, Germano Moreira +4
cs.CVcs.ROarXiv:2109.00810v12021
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret, Jeff Clune
cs.AIcs.NEcs.ROarXiv:1504.04909v12015
Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models
Jiaqian Li, Yanshu Li, Kuan-Hao Huang
cs.CLarXiv:2602.01654v12026
Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media
Chao Huang, Kun Wang, Liming Nie +2
physics.med-phmath.APmath.NAarXiv:1303.5680v12013
Venture: a higher-order probabilistic programming platform with programmable inference
Vikash Mansinghka, Daniel Selsam, Yura Perov
cs.AIcs.PLstat.COarXiv:1404.0099v12014
Solutions to Three Conjectures and an Open Problem on Binary BCH Codes
Xiaoqiang Wang, Jiawei He, Boru Yi +1
cs.ITarXiv:2609.00532v12026
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen +5
cs.LGstat.MLarXiv:2005.07186v22020
"Am I Just That Dumb?": Applicability, Action and Verification in Consumer IoT Security Advice
Veerle van Harten, Carlos Hernández Gañán, Michel van Eeten +1
cs.HCarXiv:2608.25225v12026
Unsupervised Machine Learning on a Hybrid Quantum Computer
J. S. Otterbach, R. Manenti, N. Alidoust +27
quant-pharXiv:1712.05771v12017
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
Rongzhen Zhao, Jian Li, Juho Kannala +1
cs.CVarXiv:2508.01345v72025
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli +1
cs.LGstat.MLarXiv:1711.06104v42017
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
Taku Kudo
cs.CLarXiv:1804.10959v12018
Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems
Tom Goldstein, Min Li, Xiaoming Yuan +2
math.NAcs.NAarXiv:1305.0546v22013
ColPali: Efficient Document Retrieval with Vision Language Models
Manuel Faysse, Hugues Sibille, Tony Wu +4
cs.IRcs.CLcs.CVarXiv:2407.01449v62024
Deep reinforcement learning for turbulent drag reduction in channel flows
L. Guastoni, J. Rabault, P. Schlatter +2
physics.flu-dynarXiv:2301.09889v32023
Missing Data: A Comparison of Neural Network and Expectation Maximisation Techniques
Fulufhelo V. Nelwamondo, Shakir Mohamed, Tshilidzi Marwala
stat.AParXiv:0704.3474v12007
How Should Diffusion Language Models Edit Code?
Xijia Tao, Ziru Liu, Shansan Gong +7
cs.SEcs.AIarXiv:2609.38257v12026
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu +3
cs.LGcs.CVeess.IVarXiv:2110.07728v22021
Self-Evolving Embodied Agents via Skill-Harness Evolution
Peidong Wang, Zhiming Ma, Ying Chang +5
cs.CLcs.ROarXiv:2608.11350v12026
New generation of mobile phone viruses and corresponding countermeasures
Pu Wang, Marta C. González, Ronaldo Menezes +1
cs.NIcs.CRphysics.soc-pharXiv:1012.3156v12010
Artificial Intelligence Models Can Predict and Collaboratively Modulate Human Memory Search
Eric Lacosse, Mariana Duarte, Graham Todd +2
cs.CLcs.AIcs.HCarXiv:2608.26152v12026
The VoicePrivacy 2020 Challenge: Results and findings
Natalia Tomashenko, Xin Wang, Emmanuel Vincent +11
cs.CLcs.SDeess.ASarXiv:2109.00648v42021
Sample-Weighted End-to-End Trace-Norm Geometry for Multitask Learning
Mahdi Mohammadigohari
cs.LGarXiv:2609.29520v12026
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Wanli Liu, Chen Li, Ning Xu +9
cs.CVarXiv:2206.00971v12022
Tradeoffs for reliable quantum information storage in 2D systems
Sergey Bravyi, David Poulin, Barbara Terhal
quant-pharXiv:0909.5200v12009
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
Ali Mollahosseini, Behzad Hasani, Mohammad H. Mahoor
cs.CVarXiv:1708.03985v42017
Argument Structure Prediction in Online Conversations: A Comparative Study of Modeling Paradigms and Task Architectures
Siddharth Bhargava, Sara Tonelli, Patricia Martín-Rodilla +1
cs.CLcs.IRarXiv:2609.39225v12026
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb +1
cs.LGcs.CVstat.MLarXiv:2111.13606v12021
LLaVA-Video: Video Instruction Tuning With Synthetic Data
Yuanhan Zhang, Jinming Wu, Wei Li +4
cs.CVcs.CLarXiv:2410.02713v32024
Observability Analysis and Online Calibration of Visual-Inertial-Wheel Odometry for 4WIS4WID Mobile Robots
Branimir Ćaran, Vladimir Milić, Bojan Šekoranja +1
cs.ROarXiv:2609.38462v12026
Greedy Sequential Maximal Independent Set and Matching are Parallel on Average
Guy Blelloch, Jeremy Fineman, Julian Shun
cs.DScs.DCarXiv:1202.3205v12012
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu, Zi Lin, Shreyas Padhy +3
cs.LGstat.MLarXiv:2006.10108v22020
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
Qianggang Ding, Xingyao Wang, Rui Feng +19
cs.AIarXiv:2608.10915v22026
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
Jiazheng Xu, Xiao Liu, Yuchen Wu +5
cs.CVcs.LGarXiv:2304.05977v42023
DualMiT-Net: Local-Global Transformer-Convolutional Fusion for Breast Mass Segmentation in Mammographic Regions of Interest
Alibek Kamiluly, Milana Muratova, Yash Patel +1
cs.CVcs.AIcs.LGarXiv:2608.15019v12026
Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models
Houyi Li, Wenzhen Zheng, Qiufeng Wang +8
cs.LGcs.AIarXiv:2506.10972v32025
Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMs
Shunjie Wen, Jaeyeon Lee, Dong-Wan Choi
cs.CVcs.AIarXiv:2608.30263v12026
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed Gunady, Héctor Corrada Bravo +1
cs.LGstat.MLarXiv:2010.13924v12020
Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu +6
eess.IVcs.CVcs.LGarXiv:2005.05650v12020
A NURBS-based Inverse Analysis for Reconstruction of Nonlinear Deformations of Thin Shell Structures
N. Vu-Bac, T. X. Duong, T. Lahmer +4
cs.CEarXiv:1902.02204v12019
New LoRA Skills Should Read but Never Write
Zeyan Li, Panqi Yang, Qirong Guo +5
cs.LGarXiv:2609.31600v12026
Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cram\'er-Rao Bound Meets Spin Dynamics
Bo Zhao, Justin P. Haldar, Congyu Liao +5
eess.SParXiv:1710.08062v82017
Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms
Peter Benner, Pawan Goyal, Boris Kramer +2
math.NAcs.LGcs.NAarXiv:2002.09726v22020
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu, Aryaman Arora, Zheng Wang +4
cs.CLcs.AIcs.LGarXiv:2404.03592v32024

Every paper with a summary

Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching

Estimate then Predict: Convex Formulation for Travel Demand Forecasting

PrimSynth: An Agentic Approach to Discover, Validate, and Synthesize Exploit Primitives for Linux Kernel Vulnerabilities

Finite-key analysis for measurement-device-independent quantum key distribution

A Near-Linear Element Kernel for \(d\)-Hitting Set

Full-field laser-Doppler-vibrometry FRF dataset for a four-bolt aluminum plate under bolt-torque variation

On Language Drift during RLVR Post-Training

Multi-View Learning in the Presence of View Disagreement

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap

Nonlinear normal modes and spectral submanifolds: Existence, uniqueness and use in model reduction

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer

Revisiting minimum description length complexity in overparameterized models

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

Beyond Local Linearity: Scale-Resolved Geometry of Learned Image Encoders

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition

Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Illuminating search spaces by mapping elites

Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models

Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media

Venture: a higher-order probabilistic programming platform with programmable inference

Solutions to Three Conjectures and an Open Problem on Binary BCH Codes

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

"Am I Just That Dumb?": Applicability, Action and Verification in Consumer IoT Security Advice

Unsupervised Machine Learning on a Hybrid Quantum Computer

Predicting Video Slot Attention Queries from Random Slot-Feature Pairs

Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

ColPali: Efficient Document Retrieval with Vision Language Models

Deep reinforcement learning for turbulent drag reduction in channel flows

Missing Data: A Comparison of Neural Network and Expectation Maximisation Techniques

How Should Diffusion Language Models Edit Code?

Pre-training Molecular Graph Representation with 3D Geometry

Self-Evolving Embodied Agents via Skill-Harness Evolution

New generation of mobile phone viruses and corresponding countermeasures

Artificial Intelligence Models Can Predict and Collaboratively Modulate Human Memory Search

The VoicePrivacy 2020 Challenge: Results and findings

Sample-Weighted End-to-End Trace-Norm Geometry for Multitask Learning

CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron

Tradeoffs for reliable quantum information storage in 2D systems

AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

Argument Structure Prediction in Online Conversations: A Comparative Study of Modeling Paradigms and Task Architectures

Conditional Image Generation with Score-Based Diffusion Models

LLaVA-Video: Video Instruction Tuning With Synthetic Data

Observability Analysis and Online Calibration of Visual-Inertial-Wheel Odometry for 4WIS4WID Mobile Robots

Greedy Sequential Maximal Independent Set and Matching are Parallel on Average

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

ComBodied Agents: a New Paradigm of Human-Centric Agentic AI

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

DualMiT-Net: Local-Global Transformer-Convolutional Fusion for Breast Mass Segmentation in Mammographic Regions of Interest

Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models

Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMs

Benchmarking Deep Learning Interpretability in Time Series Predictions

Invertible Image Rescaling

A NURBS-based Inverse Analysis for Reconstruction of Nonlinear Deformations of Thin Shell Structures

New LoRA Skills Should Read but Never Write

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cram\'er-Rao Bound Meets Spin Dynamics

Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

ReFT: Representation Finetuning for Language Models