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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6,061 to 6,120 of 61,178

Positional task conditioning for scalable defect detection across product families in large product catalogs
Soham Satyadharma, Gabriel Roccabruna, Suleiman A. Khan
cs.LGarXiv:2609.09567v12026
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Pengfei Liu, Yiming Ren, Jun Tao +1
cs.LGcs.CLq-bio.BMarXiv:2308.06911v32023
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Luis Barroso-Luque, Muhammed Shuaibi, Xiang Fu +6
cond-mat.mtrl-scics.AIphysics.comp-pharXiv:2410.12771v22024
SecDec: A general program for sector decomposition
Jonathon Carter, Gudrun Heinrich
hep-pharXiv:1011.5493v22010
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni, Dan Ou, Shichen Liu +4
stat.MLcs.LGarXiv:1805.10727v12018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyun Zhao, Haoxiang Li, Xiaohui Shen +2
cs.CVarXiv:1807.06708v22018
POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model
Razvan Stefanescu, Ionel Michael Navon
physics.comp-phmath.NAarXiv:1211.2521v12012
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang, Joel Lehman, Aditya Rawal +4
cs.NEarXiv:2003.08536v22020
Sample-efficient learning of quantum many-body systems
Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara +1
quant-phcond-mat.stat-mechcs.LGarXiv:2004.07266v12020
DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Lukas von Stumberg, Daniel Cremers
cs.CVcs.ROarXiv:2201.04114v12022
DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering
Stefano Borgo, Roberta Ferrario, Aldo Gangemi +5
cs.AIarXiv:2308.01597v12023
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming, Ying Fan, Yixuan Li
cs.LGcs.AIcs.CVarXiv:2206.13687v12022
Multi-Armed Bandits for Intelligent Tutoring Systems
Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer +1
cs.AIarXiv:1310.3174v22013
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
Tom Kocmi, Ondrej Bojar
cs.CLarXiv:1707.09533v12017
Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization
Yi Wu, Zheng Ren, Zhiyu Hu +8
cs.LGarXiv:2609.09468v12026
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
cs.LGcs.CVstat.MLarXiv:1812.06190v12018
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, Adish Singla +1
cs.LGcs.AIcs.CRarXiv:2003.12613v22020
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
cs.CVarXiv:2108.09274v12021
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
Bowen Zhang, Harold Soh
cs.CLcs.AIcs.LGarXiv:2404.03868v22024
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
Zhenggang Tang, Yuchen Fan, Dilin Wang +4
cs.CVcs.AIarXiv:2412.06974v12024
Symbolic Models for Nonlinear Control Systems: Alternating Approximate Bisimulations
Giordano Pola, Paulo Tabuada
math.OCarXiv:0707.4205v12007
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina +1
stat.MLcs.ITcs.LGarXiv:1510.05610v42015
Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts
Samira Alkaee Taleghan, Younghyun Koo, Andrew P. Barrett +1
cs.LGarXiv:2609.09451v12026
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks +1
eess.IVcs.LGq-bio.QMarXiv:2002.02497v22020
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang +1
cs.CVarXiv:2108.07002v32021
Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics
Will Houser, Vanja Dukic, David M. Bortz
cs.LGcs.CEstat.MLarXiv:2609.09434v12026
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
Yiwen Chen, Tong He, Di Huang +9
cs.CVcs.AIarXiv:2406.10163v22024
Applying foundation model embeddings towards urban livability evaluation
Ayush Khot, Wen Zhou, Shaowen Wang
cs.LGcs.CYarXiv:2609.09429v12026
Exponential Lower Bounds for Polytopes in Combinatorial Optimization
Samuel Fiorini, Serge Massar, Sebastian Pokutta +2
math.COcs.CCquant-pharXiv:1111.0837v52011
Consistency in Non-Transactional Distributed Storage Systems
Paolo Viotti, Marko Vukolić
cs.DCarXiv:1512.00168v42015
Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari
cs.CVcs.LGarXiv:2104.02416v12021
Self-taught Object Localization with Deep Networks
Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov +1
cs.CVarXiv:1409.3964v72014
Differentiable Dynamic Programming for Structured Prediction and Attention
Arthur Mensch, Mathieu Blondel
stat.MLcs.LGarXiv:1802.03676v22018
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen, Yu Tian, Guansong Pang +1
cs.CVarXiv:2101.10043v52021
A Fast Distributed Proximal-Gradient Method
Annie I. Chen, Asuman Ozdaglar
cs.DCcs.LGstat.MLarXiv:1210.2289v12012
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:2002.11497v22020
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham M. Kakade +1
stat.MLcs.DScs.LGarXiv:1506.07512v12015
NAG: Network for Adversary Generation
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg +1
cs.CVcs.AIcs.LGarXiv:1712.03390v22017
Identifying ECUs Using Inimitable Characteristics of Signals in Controller Area Networks
Wonsuk Choi, Hyo Jin Jo, Samuel Woo +3
cs.CRarXiv:1607.00497v12016
Testing product states, quantum Merlin-Arthur games and tensor optimisation
Aram W. Harrow, Ashley Montanaro
quant-pharXiv:1001.0017v62010
Learnable Boundary Guided Adversarial Training
Jiequan Cui, Shu Liu, Liwei Wang +1
cs.CVarXiv:2011.11164v22020
Explainable Automated Fact-Checking: A Survey
Neema Kotonya, Francesca Toni
cs.CLcs.AIarXiv:2011.03870v12020
Model Selection Principles in Misspecified Models
Jinchi Lv, Jun S. Liu
math.STstat.MEarXiv:1005.5483v22010
Scalable Image Coding for Humans and Machines
Hyomin Choi, Ivan V. Bajic
eess.IVarXiv:2107.08373v22021
Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope
Matthew Loftus
cs.LGcond-mat.stat-mechmath.ATarXiv:2609.09159v12026
Theta Bodies for Polynomial Ideals
João Gouveia, Pablo A. Parrilo, Rekha R. Thomas
math.OCmath.COarXiv:0809.3480v32008
Retrofitting Code Using LLMs to Support Exceptional Behavior
Linghan Zhong, Jiyang Zhang, Jayanth Srinivasa +2
cs.SEcs.CLarXiv:2609.10397v12026
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam +2
cs.LGeess.SPstat.MLarXiv:1908.02252v22019
On Learning Disentangled Representations for Gait Recognition
Ziyuan Zhang, Luan Tran, Feng Liu +1
cs.CVarXiv:1909.03051v12019
If It's Not Buggy, Don't Fix It: On the Dynamics of Iterative Bug-fixing with LLMs
Xietao Wang-Lin, Anton Isopoussu, Louis Mahon
cs.SEcs.CLarXiv:2609.10123v12026
Best Practices for Scientific Research on Neural Architecture Search
Marius Lindauer, Frank Hutter
cs.LGstat.MLarXiv:1909.02453v32019
XAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age Prediction
Yang Qiao, Junjie Wu, Deqiang Qiu +2
cs.LGq-bio.NCarXiv:2609.09388v12026
Quantum Graph Neural Networks
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica +3
quant-phcs.LGarXiv:1909.12264v12019
Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition
Keisuke Onoue, Ryosuke Kojima
cs.LGarXiv:2609.09370v12026
Exact Soft Confidence-Weighted Learning
Jialei Wang, Peilin Zhao, Steven C. H. Hoi
cs.LGarXiv:1206.4612v12012
Long Time No See! Open-Domain Conversation with Long-Term Persona Memory
Xinchao Xu, Zhibin Gou, Wenquan Wu +4
cs.CLarXiv:2203.05797v22022
Software Startups -- A Research Agenda
Michael Unterkalmsteiner, Pekka Abrahamsson, Xiaofeng Wang +24
cs.SEarXiv:2308.12816v12023
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
Jianqing Zhu, Huanqiang Zeng, Jingchang Huang +4
cs.CVarXiv:1811.05163v12018
The AVA-Kinetics Localized Human Actions Video Dataset
Ang Li, Meghana Thotakuri, David A. Ross +3
cs.CVcs.LGeess.IVarXiv:2005.00214v22020
Explaining f-Divergence-Based Regularization via Local Curvature and Sharpness-Aware Minimization
Nour Jamoussi, Marios Kountouris
cs.LGcs.ITarXiv:2609.09367v12026

Every paper with a summary

Positional task conditioning for scalable defect detection across product families in large product catalogs

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

SecDec: A general program for sector decomposition

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks

A Modulation Module for Multi-task Learning with Applications in Image Retrieval

POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model

Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

Sample-efficient learning of quantum many-body systems

DM-VIO: Delayed Marginalization Visual-Inertial Odometry

DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering

POEM: Out-of-Distribution Detection with Posterior Sampling

Multi-Armed Bandits for Intelligent Tutoring Systems

Curriculum Learning and Minibatch Bucketing in Neural Machine Translation

Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization

Learning Latent Subspaces in Variational Autoencoders

Adaptive Reward-Poisoning Attacks against Reinforcement Learning

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Symbolic Models for Nonlinear Control Systems: Alternating Approximate Bisimulations

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues

Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts

On the limits of cross-domain generalization in automated X-ray prediction

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Applying foundation model embeddings towards urban livability evaluation

Exponential Lower Bounds for Polytopes in Combinatorial Optimization

Consistency in Non-Transactional Distributed Storage Systems

Variational Transformer Networks for Layout Generation

Self-taught Object Localization with Deep Networks

Differentiable Dynamic Programming for Structured Prediction and Attention

Deep One-Class Classification via Interpolated Gaussian Descriptor

A Fast Distributed Proximal-Gradient Method

On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization

NAG: Network for Adversary Generation

Identifying ECUs Using Inimitable Characteristics of Signals in Controller Area Networks

Testing product states, quantum Merlin-Arthur games and tensor optimisation

Learnable Boundary Guided Adversarial Training

Explainable Automated Fact-Checking: A Survey

Model Selection Principles in Misspecified Models

Scalable Image Coding for Humans and Machines

Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope

Theta Bodies for Polynomial Ideals

Retrofitting Code Using LLMs to Support Exceptional Behavior

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network

On Learning Disentangled Representations for Gait Recognition

If It's Not Buggy, Don't Fix It: On the Dynamics of Iterative Bug-fixing with LLMs

Best Practices for Scientific Research on Neural Architecture Search

XAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age Prediction

Quantum Graph Neural Networks

Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition

Exact Soft Confidence-Weighted Learning

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

Software Startups -- A Research Agenda

Vehicle Re-identification Using Quadruple Directional Deep Learning Features

The AVA-Kinetics Localized Human Actions Video Dataset

Explaining f-Divergence-Based Regularization via Local Curvature and Sharpness-Aware Minimization