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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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27,361 to 27,420 of 61,393

A knockoff filter for high-dimensional selective inference
Rina Foygel Barber, Emmanuel J. Candes
stat.MEmath.STarXiv:1602.03574v32016
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang, Virat Shejwalkar, Reza Shokri +1
stat.MLcs.CRcs.LGarXiv:1912.11279v12019
mGPT: Few-Shot Learners Go Multilingual
Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova +3
cs.CLcs.AIarXiv:2204.07580v22022
On Constrained Spectral Clustering and Its Applications
Xiang Wang, Buyue Qian, Ian Davidson
cs.LGstat.MLarXiv:1201.5338v22012
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer, Gilles Louppe, Juan Pavez +1
stat.MLcs.LGhep-pharXiv:1805.12244v42018
Model Reconstruction from Model Explanations
Smitha Milli, Ludwig Schmidt, Anca D. Dragan +1
stat.MLcs.LGarXiv:1807.05185v12018
Selective Knowledge Edit Reversal via Gated Singular Vector Shrinkage
Weifeng Jiang, Ruirui Chen, Qianren Mao +3
cs.CLarXiv:2609.02091v12026
Learned Point Cloud Geometry Compression
Jianqiang Wang, Hao Zhu, Zhan Ma +3
cs.CVeess.IVarXiv:1909.12037v12019
Discovering Cyclic Causal Models by Independent Components Analysis
Gustavo Lacerda, Peter L. Spirtes, Joseph Ramsey +1
cs.AIstat.MEarXiv:1206.3273v12012
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani, Zhiyao Luo, Emerson Wenzel +1
cs.ROarXiv:2010.08184v32020
Characterizing the speed and paths of shared bicycles in Lyon
Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht +1
cs.SIarXiv:1011.6266v12010
How Output Format Confounds Data Quality and Capability in Instruction Tuning
Chengguang Gan, Hanjun Wei, Yunhao Liang +3
cs.CLarXiv:2609.02015v12026
Switchable Whitening for Deep Representation Learning
Xingang Pan, Xiaohang Zhan, Jianping Shi +2
cs.CVarXiv:1904.09739v42019
Transfer Safety Awareness for Cross-Modal Safety Drift in Multimodal Large Language Models
Tianqi Xiao, Shiyao Cui, Minghao Zhang +2
cs.MMcs.AIcs.CLarXiv:2609.02082v12026
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
Murtadha D. Hssayeni, M. S., Muayad S. Croock +9
eess.IVcs.CVarXiv:1910.08643v22019
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He, Zhewei Wei, Ji-Rong Wen
cs.LGcs.AIarXiv:2202.03580v52022
Deep Convolutional Neural Network to Detect J-UNIWARD
Guanshuo Xu
cs.MMarXiv:1704.08378v12017
Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models
Jayakumar Manoharan, Yamini Sehgal
eess.SYcs.AIcs.IRarXiv:2609.02011v12026
Toward a Spectral Theory of Cellular Sheaves
Jakob Hansen, Robert Ghrist
math.ATmath.COarXiv:1808.01513v22018
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Jonathan Hayase, Weihao Kong, Raghav Somani +1
cs.LGcs.AIstat.MLarXiv:2104.11315v12021
Cloze-driven Pretraining of Self-attention Networks
Alexei Baevski, Sergey Edunov, Yinhan Liu +2
cs.CLarXiv:1903.07785v12019
Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties
Yicheng Sun, Yueyong Lyu, Yuhan Liu +2
eess.SYarXiv:2609.02534v12026
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
F. Paredes-Vallés, G. C. H. E. de Croon
cs.CVarXiv:2009.08283v22020
Gradient Inversion with Generative Image Prior
Jinwoo Jeon, Jaechang Kim, Kangwook Lee +2
cs.LGarXiv:2110.14962v12021
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang, Liuhui Wang, Yu Qiao +2
cs.CVcs.AIarXiv:2212.06785v12022
Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle
Angshul Majumdar
cs.LGarXiv:2609.01689v12026
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
Huai-Qian Khor, John See, Raphael C. W. Phan +1
cs.CVarXiv:1805.08417v12018
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention
Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano +1
cs.CVarXiv:1911.07757v12019
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Gopal Sharma, Difan Liu, Subhransu Maji +3
cs.CVcs.LGarXiv:2003.12181v52020
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection
Hanoona Rasheed, Muhammad Maaz, Muhammad Uzair Khattak +2
cs.CVcs.AIarXiv:2207.03482v32022
Dutch Books for Language Models
Isaiah Andrews, Suproteem Sarkar
econ.GNcs.AIcs.CLarXiv:2609.02797v12026
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Kai Wang +2
cs.CVcs.LGarXiv:2205.04183v32022
More Adaptive Algorithms for Adversarial Bandits
Chen-Yu Wei, Haipeng Luo
cs.LGstat.MLarXiv:1801.03265v32018
Design and Analysis of a Multi-Carrier Differential Chaos Shift Keying Communication System
Georges Kaddoum, Francois-Dominique Richardson, Francois Gagnon
cs.OHarXiv:1303.3177v42013
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
Patricia Vitoria, Lara Raad, Coloma Ballester
cs.CVarXiv:1907.09837v22019
Transferability and Hardness of Supervised Classification Tasks
Anh T. Tran, Cuong V. Nguyen, Tal Hassner
cs.LGcs.CVstat.MLarXiv:1908.08142v12019
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
Abdullah Al-Dujaili, Alex Huang, Erik Hemberg +1
cs.CRcs.LGstat.MLarXiv:1801.02950v32018
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
Chunyang Fu, Ge Li, Rui Song +2
cs.CVarXiv:2202.06028v22022
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi, Liran Gispan, Niv Giladi +1
cs.LGstat.MLarXiv:1905.11659v32019
Towards Automating Code Review Activities
Rosalia Tufano, Luca Pascarella, Michele Tufano +2
cs.SEarXiv:2101.02518v42021
PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
cs.LGcs.CVarXiv:2110.00061v32021
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing
Qunsong Zeng, Yuqing Du, Kaibin Huang +1
cs.ITeess.SParXiv:2007.07122v22020
MAOL: Morphology-Aware Ordinal Learning for Fine-Grained Industrial Defect Severity Grading
Zhaoyang Wang, Haiyong Chen, Binyi Su +4
cs.CVarXiv:2609.02266v12026
A neural network approach for the blind deconvolution of turbulent flows
Romit Maulik, Omer San
physics.flu-dynnlin.CDarXiv:1706.00912v22017
Autonomous Vehicles in 5G and Beyond: A Survey
Saqib Hakak, Thippa Reddy Gadekallu, Swarna Priya Ramu +4
cs.NIarXiv:2207.10510v12022
A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing
Minxian Xu, Wenhong Tian, Rajkumar Buyya
cs.DCarXiv:1607.06269v32016
Covert Wireless Communication with Artificial Noise Generation
Ramin Soltani, Dennis Goeckel, Don Towsley +2
cs.ITcs.CRcs.NIarXiv:1709.07096v52017
BAFFLE : Blockchain Based Aggregator Free Federated Learning
Paritosh Ramanan, Kiyoshi Nakayama
cs.LGcs.CRcs.DCarXiv:1909.07452v32019
Machine-learning-based reduced order modeling for unsteady flows around bluff bodies of various shapes
Kazuto Hasegawa, Kai Fukami, Takaaki Murata +1
physics.flu-dynphysics.comp-pharXiv:2003.07548v12020
Editorial: Understanding Cryptocurrencies
Wolfgang Karl Härdle, Campbell R. Harvey, Raphael C. G. Reule
q-fin.CParXiv:2007.14702v12020
The importance of stain normalization in colorectal tissue classification with convolutional networks
Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi +6
cs.CVcs.LGarXiv:1702.05931v22017
Quantum speedup for active learning agents
Giuseppe Davide Paparo, Vedran Dunjko, Adi Makmal +2
quant-pharXiv:1401.4997v22014
FuDU: A Fuzzy Dual-dimensional Uncertainty Framework for Streaming Active Learning in Industrial Defect Detection
Zhaoyang Wang, Haiyong Chen, Binyi Su +1
cs.CVarXiv:2609.02212v12026
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
Qiaohao Liang, Aldair E. Gongora, Zekun Ren +12
cond-mat.mtrl-scics.LGphysics.data-anarXiv:2106.01309v12021
Meta-learning via Language Model In-context Tuning
Yanda Chen, Ruiqi Zhong, Sheng Zha +2
cs.CLcs.LGarXiv:2110.07814v22021
CMasher: Scientific colormaps for making accessible, informative and 'cmashing' plots
Ellert van der Velden
eess.IVphysics.data-anarXiv:2003.01069v12020
Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions
Di Luo, Bryan K. Clark
cond-mat.dis-nncond-mat.str-elphysics.comp-pharXiv:1807.10770v22018
Training seeds and model-selection stability in recommender-system evaluation
Juan Manuel Rodriguez, Oleg Lesota, Antonela Tommasel
cs.IRcs.LGarXiv:2609.02499v12026
Neither hype nor gloom do DNNs justice
Felix A. Wichmann, Simon Kornblith, Robert Geirhos
cs.LGcs.CVq-bio.NCarXiv:2312.05355v12023
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
Ashutosh Agarwal, Chetan Arora
cs.CVarXiv:2210.09071v12022

Every paper with a summary

A knockoff filter for high-dimensional selective inference

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer

mGPT: Few-Shot Learners Go Multilingual

On Constrained Spectral Clustering and Its Applications

Mining gold from implicit models to improve likelihood-free inference

Model Reconstruction from Model Explanations

Selective Knowledge Edit Reversal via Gated Singular Vector Shrinkage

Learned Point Cloud Geometry Compression

Discovering Cyclic Causal Models by Independent Components Analysis

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong

Characterizing the speed and paths of shared bicycles in Lyon

How Output Format Confounds Data Quality and Capability in Instruction Tuning

Switchable Whitening for Deep Representation Learning

Transfer Safety Awareness for Cross-Modal Safety Drift in Multimodal Large Language Models

Intracranial Hemorrhage Segmentation Using Deep Convolutional Model

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Deep Convolutional Neural Network to Detect J-UNIWARD

Seed-Anchored Budget-Bounded Graph Rendering for Question Answering on Industry-Standard Power-Grid Information and Exchange Models

Toward a Spectral Theory of Cellular Sheaves

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

Cloze-driven Pretraining of Self-attention Networks

Physics-based Online Adaptive Koopman Model Predictive Attitude Control for Combined Spacecraft with Dynamic Uncertainties

Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy

Gradient Inversion with Generative Image Prior

Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection

Dutch Books for Language Models

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

More Adaptive Algorithms for Adversarial Bandits

Design and Analysis of a Multi-Carrier Differential Chaos Shift Keying Communication System

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

Transferability and Hardness of Supervised Classification Tasks

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression

Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

Towards Automating Code Review Activities

PubTables-1M: Towards comprehensive table extraction from unstructured documents

Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing

MAOL: Morphology-Aware Ordinal Learning for Fine-Grained Industrial Defect Severity Grading

A neural network approach for the blind deconvolution of turbulent flows

Autonomous Vehicles in 5G and Beyond: A Survey

A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing

Covert Wireless Communication with Artificial Noise Generation

BAFFLE : Blockchain Based Aggregator Free Federated Learning

Machine-learning-based reduced order modeling for unsteady flows around bluff bodies of various shapes

Editorial: Understanding Cryptocurrencies

The importance of stain normalization in colorectal tissue classification with convolutional networks

Quantum speedup for active learning agents

FuDU: A Fuzzy Dual-dimensional Uncertainty Framework for Streaming Active Learning in Industrial Defect Detection

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains

Meta-learning via Language Model In-context Tuning

CMasher: Scientific colormaps for making accessible, informative and 'cmashing' plots

Backflow Transformations via Neural Networks for Quantum Many-Body Wave-Functions

Training seeds and model-selection stability in recommender-system evaluation

Neither hype nor gloom do DNNs justice

Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention