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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6,661 to 6,720 of 61,137

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Optimal Use of Current and Outdated Channel State Information - Degrees of Freedom of the MISO BC with Mixed CSIT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
Testing for high-dimensional geometry in random graphs
Sébastien Bubeck, Jian Ding, Ronen Eldan +1
math.STcs.SImath.PRarXiv:1411.5713v22014
Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?
Fumihiko Tachibana, Daisuke Miyashita, Jun Deguchi
cs.LGcs.AIcs.CLarXiv:2609.09768v12026
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization
Eivind Bøhn, Erlend M. Coates, Signe Moe +1
cs.ROeess.SYarXiv:1911.05478v12019
What are Weak Links in the npm Supply Chain?
Nusrat Zahan, Thomas Zimmermann, Patrice Godefroid +3
cs.CRcs.CYcs.SEarXiv:2112.10165v22021
Trivializations for Gradient-Based Optimization on Manifolds
Mario Lezcano-Casado
cs.LGstat.MLarXiv:1909.09501v22019
Primal Wasserstein Imitation Learning
Robert Dadashi, Léonard Hussenot, Matthieu Geist +1
cs.LGstat.MLarXiv:2006.04678v22020
Event Based, Near Eye Gaze Tracking Beyond 10,000Hz
Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli +2
cs.CVcs.HCarXiv:2004.03577v32020
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon, Chihye Han, Dae-shik Kim
eess.IVcs.CVarXiv:1908.02498v12019
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
Michel Galley, Chris Brockett, Alessandro Sordoni +6
cs.CLarXiv:1506.06863v22015
How Fragile Is Safety Alignment at Frontier Scale? A Single-Direction Attack on a 320B MoE
Yi Shi, Tanyu Chen, Kai Shen
cs.CRcs.AIcs.CLarXiv:2609.09793v12026
LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarios
Hanjing Zhou, Mingze Yin, Ying Lian +3
cs.CVcs.AIcs.CLarXiv:2609.09790v12026
IoT DoS and DDoS Attack Detection using ResNet
Faisal Hussain, Syed Ghazanfar Abbas, Muhammad Husnain +3
cs.CRarXiv:2012.01971v12020
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
Zhiyu Huang, Haochen Liu, Jingda Wu +1
cs.ROarXiv:2207.10422v22022
Advancing Multimodal Medical Capabilities of Gemini
Lin Yang, Shawn Xu, Andrew Sellergren +44
cs.CVcs.AIcs.CLarXiv:2405.03162v12024
A Brief Introduction to Machine Learning for Engineers
Osvaldo Simeone
cs.LGcs.ITstat.MLarXiv:1709.02840v32017
Pairit: A Platform for Live Experiments on Human-AI Collaboration
Harang Ju, Sinan Aral
cs.HCcs.AIarXiv:2609.09789v12026
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic
Yongyi Tang, Lin Ma, Wei Liu +1
cs.CVarXiv:1805.02513v12018
SimBlock: A Blockchain Network Simulator
Yusuke Aoki, Kai Otsuki, Takeshi Kaneko +2
cs.DCarXiv:1901.09777v22019
Probing the Need for Visual Context in Multimodal Machine Translation
Ozan Caglayan, Pranava Madhyastha, Lucia Specia +1
cs.CLarXiv:1903.08678v22019
Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal, Sumit Kumar, Katia Sycara
cs.LGcs.MAstat.MLarXiv:1906.01202v12019

Every paper with a summary

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

Testing for high-dimensional geometry in random graphs

Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?

Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization

What are Weak Links in the npm Supply Chain?

Trivializations for Gradient-Based Optimization on Manifolds

Primal Wasserstein Imitation Learning

Event Based, Near Eye Gaze Tracking Beyond 10,000Hz

Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets

How Fragile Is Safety Alignment at Frontier Scale? A Single-Direction Attack on a 320B MoE

LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial Scenarios

IoT DoS and DDoS Attack Detection using ResNet

Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving

Advancing Multimodal Medical Capabilities of Gemini

A Brief Introduction to Machine Learning for Engineers

Pairit: A Platform for Live Experiments on Human-AI Collaboration

Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic

SimBlock: A Blockchain Network Simulator

Probing the Need for Visual Context in Multimodal Machine Translation

Learning Transferable Cooperative Behavior in Multi-Agent Teams