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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6,841 to 6,900 of 61,338

Fault-tolerant quantum computation with few qubits
Rui Chao, Ben W. Reichardt
quant-pharXiv:1705.05365v12017
Can AI Agents Detect and Repair Artifact Drift in Network Experiments?
Tianzhu Zhang, Weichen Tao, Changgang Zheng +4
cs.NIcs.AIeess.SYarXiv:2609.09849v12026
Parallel window decoding enables scalable fault tolerant quantum computation
Luka Skoric, Dan E. Browne, Kenton M. Barnes +2
quant-pharXiv:2209.08552v22022
uFlowCSP: Crystal Structure Prediction using Mean flow generative models
Sourin Dey, Dipannoy Das Gupta, Lai Wei +2
cond-mat.mtrl-scics.AIcs.LGarXiv:2609.09799v12026
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin +2
cs.CVarXiv:2101.07518v42021
Hard negative examples are hard, but useful
Hong Xuan, Abby Stylianou, Xiaotong Liu +1
cs.CVcs.LGstat.MLarXiv:2007.12749v22020
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
Shubhankar Borse, Ying Wang, Yizhe Zhang +1
cs.CVcs.LGarXiv:2104.02745v22021
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han, Zejia Fan, Qi Dai +4
cs.CVarXiv:2106.04263v52021
An Integrated Semantic Web Service Discovery and Composition Framework
Pablo Rodriguez-Mier, Carlos Pedrinaci, Manuel Lama +1
cs.AIcs.SEarXiv:1502.02840v12015
Improving Cross-Lingual Token Representations by Adding a Pinch of SALT
Guillem Ramírez
cs.CLcs.AIarXiv:2609.09953v12026
Gene Hunting with Knockoffs for Hidden Markov Models
Matteo Sesia, Chiara Sabatti, Emmanuel J. Candès
stat.MEmath.STstat.AParXiv:1706.04677v12017
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang, Haoran Dou, Xiaowei Hu +7
eess.IVcs.AIcs.CVarXiv:1907.01743v22019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu
cs.CVarXiv:1812.02591v12018
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
Wenhao Ding, Baiming Chen, Minjun Xu +1
cs.ROcs.LGarXiv:2003.01197v32020
Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population
Abhirup Banerjee, Surajit Ray, Bart Vorselaars +5
stat.APq-bio.QMarXiv:2007.06971v22020
SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks
Xiaoliang Wu, Alexander Kolar, Joaquin Chung +4
quant-pharXiv:2009.12000v12020
FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models
Yansen Han, Shengyi Liao, Peng Sun +4
stat.MLcs.AIcs.CVarXiv:2609.09905v12026
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo, Kimin Lee, Stephen James +1
cs.CVcs.AIarXiv:2203.13880v22022
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples
Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki
cs.CLarXiv:2307.11729v32023
Strangers to Themselves: What Language Models Say About Themselves Is Generic
Phil Blandfort, Urja Pawar
cs.LGcs.AIcs.CLarXiv:2609.09899v12026
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
Sergi Valverde, Mostafa Salem, Mariano Cabezas +7
cs.CVarXiv:1805.12415v12018
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai +1
cs.CVcs.LGcs.ROarXiv:2001.02613v22020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu, Pan Mu, Xiaoming Yuan +2
cs.LGcs.CVmath.DSarXiv:2006.04045v22020
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation
Krushi Patel, Andres M. Bur, Guanghui Wang
eess.IVcs.CVarXiv:2105.00999v12021
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Li Tang, Tong Chen +3
cs.IRarXiv:2105.03300v12021
A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data
Antoine Zimmermann, Nuno Lopes, Axel Polleres +1
cs.DBarXiv:1103.1255v12011
A Guide to Constraining Effective Field Theories with Machine Learning
Johann Brehmer, Kyle Cranmer, Gilles Louppe +1
hep-phphysics.data-anstat.MLarXiv:1805.00020v42018
Optimal Use of Current and Outdated Channel State Information - Degrees of Freedom of the MISO BC with Mixed CSIT
Tiangao Gou, Syed A. Jafar
cs.ITarXiv:1203.1301v12012
Multimodal Task-Driven Dictionary Learning for Image Classification
Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray +1
stat.MLcs.CVcs.LGarXiv:1502.01094v22015
Forward-Free LLM Depth Pruning via Weight Redundancy
Vincent-Daniel Yun, Woosang Lim
cs.LGcs.AIcs.PFarXiv:2609.09883v12026
Generating Visual Representations for Zero-Shot Classification
Maxime Bucher, Stéphane Herbin, Frédéric Jurie
cs.CVcs.AIcs.LGarXiv:1708.06975v32017
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Angelika Ando, Spyros Gidaris, Andrei Bursuc +3
cs.CVcs.AIcs.LGarXiv:2301.10222v22023
With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education
Nikol Rummel, Valentina Nachtigall, Ernesto Panadero
cs.CYcs.AIarXiv:2609.09856v12026
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
stat.MEcs.CRarXiv:1205.0739v12012
AirHopper: Bridging the Air-Gap between Isolated Networks and Mobile Phones using Radio Frequencies
Mordechai Guri, Gabi Kedma, Assaf Kachlon +1
cs.CRarXiv:1411.0237v12014
Image Colorization with Generative Adversarial Networks
Kamyar Nazeri, Eric Ng, Mehran Ebrahimi
cs.CVarXiv:1803.05400v52018
Systematic fluctuation expansion for neural network activity equations
Michael A. Buice, Jack D. Cowan, Carson C. Chow
q-bio.NCarXiv:0902.3925v32009
Contactless Electrocardiogram Monitoring with Millimeter Wave Radar
Jinbo Chen, Dongheng Zhang, Zhi Wu +3
eess.SParXiv:2112.06639v42021
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Pengda Qin, Weiran Xu, William Yang Wang
cs.CLarXiv:1805.09929v12018
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong +3
cs.CRcs.AIarXiv:2101.02644v22021
A Distributional Framework for Data Valuation
Amirata Ghorbani, Michael P. Kim, James Zou
cs.LGstat.MLarXiv:2002.12334v12020
From Audio to Semantics: Approaches to end-to-end spoken language understanding
Parisa Haghani, Arun Narayanan, Michiel Bacchiani +6
eess.AScs.CLcs.SDarXiv:1809.09190v12018
Inter-Plane Inter-Satellite Connectivity in Dense LEO Constellations
Israel Leyva-Mayorga, Beatriz Soret, Petar Popovski
cs.NIarXiv:2005.07965v32020
Subgroup Membership Inference Audits of Differentially Private Synthetic Text
Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar +2
cs.CRcs.AIarXiv:2609.09848v12026
Deep Exponential Families
Rajesh Ranganath, Linpeng Tang, Laurent Charlin +1
stat.MLcs.LGarXiv:1411.2581v12014
Large-Scale Convex Minimization with a Low-Rank Constraint
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
cs.LGstat.MLarXiv:1106.1622v12011
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
cs.LGcs.AIarXiv:1605.08478v12016
B-Spline CNNs on Lie Groups
Erik J Bekkers
cs.LGstat.MLarXiv:1909.12057v42019
CS-Guard: Benchmarking LLM Guardrails for Code Generation Security
Jinyang Li, Mingyu Guo, Hung X. Nguyen
cs.CRcs.AIarXiv:2609.09798v12026
Interference Alignment for the $K$ User MIMO Interference Channel
Akbar Ghasemi, Abolfazl Seyed Motahari, Amir Keyvan Khandani
cs.ITarXiv:0909.4604v22009
Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559
Tim Roughgarden
cs.GTcs.DCcs.DSarXiv:2012.00854v12020
Block-Sparse Recovery via Convex Optimization
Ehsan Elhamifar, Rene Vidal
math.OCcs.CVcs.ITarXiv:1104.0654v32011
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang, Sheng Guo, Weilin Huang +2
cs.CVarXiv:1610.01119v22016
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Florian Tramèr, Reza Shokri, Ayrton San Joaquin +4
cs.CRcs.LGstat.MLarXiv:2204.00032v22022
Augur: a decentralized oracle and prediction market platform
Jack Peterson, Joseph Krug, Micah Zoltu +2
cs.CRarXiv:1501.01042v32015
Credit Risk Analysis using Quantum Computers
Daniel J. Egger, Ricardo Gacía Gutiérrez, Jordi Cahué Mestre +1
quant-pharXiv:1907.03044v12019
BRACE: Anchored Bellman-Residual Correction for Stale Critics in Asynchronous RL
Guanqun Zhao, Zijun Xie, Binbin Zheng +3
cs.LGcs.AIarXiv:2609.09783v12026
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Jing Li, Di Kang, Wenjie Pei +4
cs.CVarXiv:2108.06720v12021
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Itay Hubara, Yury Nahshan, Yair Hanani +2
cs.LGstat.MLarXiv:2006.10518v22020
Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent
Wei Xu
cs.LGarXiv:1107.2490v22011

Every paper with a summary

Fault-tolerant quantum computation with few qubits

Can AI Agents Detect and Repair Artifact Drift in Network Experiments?

Parallel window decoding enables scalable fault tolerant quantum computation

uFlowCSP: Crystal Structure Prediction using Mean flow generative models

BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring

Hard negative examples are hard, but useful

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

On the Connection between Local Attention and Dynamic Depth-wise Convolution

An Integrated Semantic Web Service Discovery and Composition Framework

Improving Cross-Lingual Token Representations by Adding a Pinch of SALT

Gene Hunting with Knockoffs for Hidden Markov Models

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population

SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks

FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models

Reinforcement Learning with Action-Free Pre-Training from Videos

OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples

Strangers to Themselves: What Language Models Say About Themselves Is Generic

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

Don't Forget The Past: Recurrent Depth Estimation from Monocular Video

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton

Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data

A Guide to Constraining Effective Field Theories with Machine Learning

Optimal Use of Current and Outdated Channel State Information - Degrees of Freedom of the MISO BC with Mixed CSIT

Multimodal Task-Driven Dictionary Learning for Image Classification

Forward-Free LLM Depth Pruning via Weight Redundancy

Generating Visual Representations for Zero-Shot Classification

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education

Privacy-Preserving Data Sharing for Genome-Wide Association Studies

AirHopper: Bridging the Air-Gap between Isolated Networks and Mobile Phones using Radio Frequencies

Image Colorization with Generative Adversarial Networks

Systematic fluctuation expansion for neural network activity equations

Contactless Electrocardiogram Monitoring with Millimeter Wave Radar

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

Data Poisoning Attacks to Deep Learning Based Recommender Systems

A Distributional Framework for Data Valuation

From Audio to Semantics: Approaches to end-to-end spoken language understanding

Inter-Plane Inter-Satellite Connectivity in Dense LEO Constellations

Subgroup Membership Inference Audits of Differentially Private Synthetic Text

Deep Exponential Families

Large-Scale Convex Minimization with a Low-Rank Constraint

Model-Free Imitation Learning with Policy Optimization

B-Spline CNNs on Lie Groups

CS-Guard: Benchmarking LLM Guardrails for Code Generation Security

Interference Alignment for the $K$ User MIMO Interference Channel

Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559

Block-Sparse Recovery via Convex Optimization

Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

Augur: a decentralized oracle and prediction market platform

Credit Risk Analysis using Quantum Computers

BRACE: Anchored Bellman-Residual Correction for Stale Critics in Asynchronous RL

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent