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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9,361 to 9,420 of 61,306

Security of the Fiat-Shamir Transformation in the Quantum Random-Oracle Model
Jelle Don, Serge Fehr, Christian Majenz +1
cs.CRquant-pharXiv:1902.07556v42019
Counterpoint by Convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts +2
cs.LGcs.SDeess.ASarXiv:1903.07227v12019
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
Jee-weon Jung, Hee-Soo Heo, Ju-ho Kim +2
eess.AScs.LGcs.SDarXiv:1904.08104v22019
Beliefs and Behavior in Language Models
Alex Smolin, Bryan Wilder
cs.AIcs.LGarXiv:2609.07943v12026
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson, Hossein Azizpour
cs.LGcs.CVstat.MLarXiv:2105.04522v42021
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2
cs.CVarXiv:2211.09646v12022
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
Hai Jiang, Ao Luo, Xiaohong Liu +2
cs.CVarXiv:2407.08939v12024
FrogNano: Training a 4B Coding Agent via Online Task Synthesis
Minseon Kim, Zhengyan Shi, Emiliano Penaloza +14
cs.AIarXiv:2609.07925v12026
An Implementation of Faster RCNN with Study for Region Sampling
Xinlei Chen, Abhinav Gupta
cs.CVarXiv:1702.02138v22017
Distributionally Robust Mean-Variance Portfolio Selection with Wasserstein Distances
Jose Blanchet, Lin Chen, Xun Yu Zhou
stat.MEarXiv:1802.04885v12018
Learning What and Where to Transfer
Yunhun Jang, Hankook Lee, Sung Ju Hwang +1
cs.LGstat.MLarXiv:1905.05901v12019
Towards Robust Neural Machine Translation
Yong Cheng, Zhaopeng Tu, Fandong Meng +2
cs.CLarXiv:1805.06130v12018
PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations
Sasank Annapureddy, Anjaneya Prasad Thamatani
cs.AIarXiv:2609.07910v12026
Localization in the Crowd with Topological Constraints
Shahira Abousamra, Minh Hoai, Dimitris Samaras +1
cs.CVarXiv:2012.12482v12020
Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment
Gongyang Li, Zhi Liu, Xinpeng Zhang +1
cs.CVarXiv:2301.02778v22023
A new approach to Cholesky-based covariance regularization in high dimensions
Adam J. Rothman, Elizaveta Levina, Ji Zhu
stat.MEarXiv:0903.0645v12009
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping
Junshi Xia, Naoto Yokoya, Bruno Adriano +1
cs.CVcs.LGarXiv:2210.10732v12022
Quantum correlations which imply causation
Joseph Fitzsimons, Jonathan Jones, Vlatko Vedral
quant-phgr-qcarXiv:1302.2731v12013
Mechanizing Typed Regulatory Actions for Security Tokens: Semantics, Falsification, and Bounded EVM Evidence
Jinwook Kim
cs.CRcs.LOarXiv:2608.29134v32026
Epsilon-Lexicase Selection for Regression
William La Cava, Lee Spector, Kourosh Danai
cs.NEarXiv:1905.13266v12019
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Chien-Yi Wang, Yu-Ding Lu, Shang-Ta Yang +1
cs.CVarXiv:2203.14325v12022
RME-GAN: A Learning Framework for Radio Map Estimation based on Conditional Generative Adversarial Network
Songyang Zhang, Achintha Wijesinghe, Zhi Ding
eess.SParXiv:2212.12817v12022
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
Baoxiong Jia, Yixin Chen, Huangyue Yu +5
cs.CVcs.AIcs.CLarXiv:2401.09340v32024
Deep Knockoffs
Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
stat.MEmath.STstat.AParXiv:1811.06687v12018
Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression
Dachi Kurtskhalia
cs.AIarXiv:2609.07901v12026
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng, Yanzhen Shen, Jiaxuan You
cs.AIarXiv:2410.03834v22024
Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Hang Su
cs.CVarXiv:1803.02536v12018
Do Large Language Models Know What They Don't Know II? A Fully Behavioral, Non-Cognitive Measure of Epistemic Honesty
Ali Şenol, H. Russell Bernard, Huan Liu
cs.AIarXiv:2609.07879v12026
Emu: Generative Pretraining in Multimodality
Quan Sun, Qiying Yu, Yufeng Cui +7
cs.CVarXiv:2307.05222v22023
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos
Pia Bideau, Erik Learned-Miller
cs.CVarXiv:1604.00136v12016
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
Tengfei Liang, Yi Jin, Yidong Li +3
eess.IVcs.CVarXiv:2011.00139v12020
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
Xu Xiang, Shuai Wang, Houjun Huang +2
eess.AScs.CLcs.SDarXiv:1906.07317v12019
Generalizing Dataset Distillation via Deep Generative Prior
George Cazenavette, Tongzhou Wang, Antonio Torralba +2
cs.CVcs.AIcs.LGarXiv:2305.01649v22023
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold +5
cs.AIcs.ROarXiv:2310.07899v12023
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi +3
cs.CLcs.AIcs.CVarXiv:2411.02571v22024
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +4
cs.LGarXiv:2208.06616v32022
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
Ren Yang, Fabian Mentzer, Luc Van Gool +1
eess.IVcs.CVarXiv:2006.13560v42020
VideoDex: Learning Dexterity from Internet Videos
Kenneth Shaw, Shikhar Bahl, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2212.04498v12022
The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs
Eric So
cs.AIecon.GNarXiv:2609.07731v12026
Constructing packings in Grassmannian manifolds via alternating projection
I. S. Dhillon, R. W. Heath, T. Strohmer +1
math.MGarXiv:0709.0535v12007
Convergence rates of sub-sampled Newton methods
Murat A. Erdogdu, Andrea Montanari
stat.MLarXiv:1508.02810v22015
Meta-Q-Learning
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto +1
cs.LGstat.MLarXiv:1910.00125v22019
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen +2
cs.CVarXiv:2309.03329v32023
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis, Jacob Andreas, Marco Baroni +2
cs.CLcs.AIcs.LGarXiv:2003.05161v22020
Encoding of Matrix Product States into Quantum Circuits of One- and Two-Qubit Gates
Shi-Ju Ran
quant-phcond-mat.str-elarXiv:1908.07958v22019
Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data
Mobina Mobaraki, Mahyar Asadi, Klaske Van Heusden +1
cs.AIcs.LGarXiv:2609.07893v12026
Interventional Causal Representation Learning
Kartik Ahuja, Divyat Mahajan, Yixin Wang +1
stat.MLcs.LGarXiv:2209.11924v42022
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Junjiao Tian, Lavisha Aggarwal, Andrea Colaco +2
cs.CVarXiv:2308.12469v32023
Long-form factuality in large language models
Jerry Wei, Chengrun Yang, Xinying Song +9
cs.CLcs.AIcs.LGarXiv:2403.18802v42024
Understanding the Impact of Model Pruning on Long-Tail Forgetting and Explanation Reliability in Medical Imaging
Nazish Khalid, Tausifa Jan Saleem, Amal Saqib +2
cs.AIarXiv:2609.07803v12026
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki M. Asano, Mandela Patrick, Christian Rupprecht +1
cs.CVcs.LGarXiv:2006.13662v32020
R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu, Matthew Blaschko
cs.LGcs.AIarXiv:2010.07733v32020
Partial-MDS Codes and their Application to RAID Type of Architectures
Mario Blaum, James Lee Hafner, Steven Hetzler
cs.ITarXiv:1205.0997v22012
Text-to-SQL Generation for Question Answering on Electronic Medical Records
Ping Wang, Tian Shi, Chandan K. Reddy
cs.CLcs.AIcs.IRarXiv:1908.01839v22019
AdaPT: An interactive procedure for multiple testing with side information
Lihua Lei, William Fithian
stat.MEarXiv:1609.06035v42016
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang, Hyeji Kim, Himanshu Asnani +3
cs.ITcs.LGeess.SParXiv:1911.03038v12019
Intermediate Loss Regularization for CTC-based Speech Recognition
Jaesong Lee, Shinji Watanabe
eess.AScs.CLcs.SDarXiv:2102.03216v12021
What Does an LLM-Agent Leaderboard Rank Actually Compare?
Wei-Jung Huang
cs.AIarXiv:2609.07785v12026
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss, Yedid Hoshen
cs.CVcs.LGarXiv:2106.03844v22021
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
Jiacen Xu, Jack W. Stokes, Geoff McDonald +5
cs.CRcs.AIarXiv:2403.01038v12024

Every paper with a summary

Security of the Fiat-Shamir Transformation in the Quantum Random-Oracle Model

Counterpoint by Convolution

RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification

Beliefs and Behavior in Language Models

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding

LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models

FrogNano: Training a 4B Coding Agent via Online Task Synthesis

An Implementation of Faster RCNN with Study for Region Sampling

Distributionally Robust Mean-Variance Portfolio Selection with Wasserstein Distances

Learning What and Where to Transfer

Towards Robust Neural Machine Translation

PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations

Localization in the Crowd with Topological Constraints

Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment

A new approach to Cholesky-based covariance regularization in high dimensions

OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping

Quantum correlations which imply causation

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

Epsilon-Lexicase Selection for Regression

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition

RME-GAN: A Learning Framework for Radio Map Estimation based on Conditional Generative Adversarial Network

SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

Deep Knockoffs

Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression

GraphRouter: A Graph-based Router for LLM Selections

Sparse Adversarial Perturbations for Videos

Do Large Language Models Know What They Don't Know II? A Fully Behavioral, Non-Cognitive Measure of Epistemic Honesty

Emu: Generative Pretraining in Multimodality

It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos

EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Generalizing Dataset Distillation via Deep Generative Prior

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

VideoDex: Learning Dexterity from Internet Videos

The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs

Constructing packings in Grassmannian manifolds via alternating projection

Convergence rates of sub-sampled Newton methods

Meta-Q-Learning

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

A Benchmark for Systematic Generalization in Grounded Language Understanding

Encoding of Matrix Product States into Quantum Circuits of One- and Two-Qubit Gates

Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data

Interventional Causal Representation Learning

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion

Long-form factuality in large language models

Understanding the Impact of Model Pruning on Long-Tail Forgetting and Explanation Reliability in Medical Imaging

Labelling unlabelled videos from scratch with multi-modal self-supervision

R-GAP: Recursive Gradient Attack on Privacy

Partial-MDS Codes and their Application to RAID Type of Architectures

Text-to-SQL Generation for Question Answering on Electronic Medical Records

AdaPT: An interactive procedure for multiple testing with side information

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

Intermediate Loss Regularization for CTC-based Speech Recognition

What Does an LLM-Agent Leaderboard Rank Actually Compare?

Mean-Shifted Contrastive Loss for Anomaly Detection

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks