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.

Search paper metadata (including unsummarized papers)

31,081 to 31,140 of 61,271

A Comprehensive Review of Smart Wheelchairs: Past, Present and Future
Jesse Leaman, Hung M. La
cs.ROarXiv:1704.04697v22017
Causal Machine Learning for Healthcare and Precision Medicine
Pedro Sanchez, Jeremy P. Voisey, Tian Xia +3
cs.LGcs.AIarXiv:2205.11402v22022
Wilson: a Python package for the running and matching of Wilson coefficients above and below the electroweak scale
Jason Aebischer, Jacky Kumar, David M. Straub
hep-pharXiv:1804.05033v22018
A predictive analytics approach for stroke prediction using machine learning and neural networks
Soumyabrata Dev, Hewei Wang, Chidozie Shamrock Nwosu +3
cs.LGarXiv:2203.00497v12022
Device calibration impacts security of quantum key distribution
Nitin Jain, Christoffer Wittmann, Lars Lydersen +5
quant-pharXiv:1103.2327v42011
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Wei Niu, Jiexiong Guan, Yanzhi Wang +2
cs.LGcs.AIarXiv:2108.13342v22021
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias +4
cs.SIcs.CYcs.HCarXiv:1704.01347v12017
A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting
Xiaoyu Tao, Mingyue Cheng, Ze Guo +4
cs.LGarXiv:2608.30976v12026
An Empirical Study of Rich Subgroup Fairness for Machine Learning
Michael Kearns, Seth Neel, Aaron Roth +1
cs.LGstat.MLarXiv:1808.08166v12018
Quadrature by Expansion: A New Method for the Evaluation of Layer Potentials
Andreas Klöckner, Alexander Barnett, Leslie Greengard +1
math.NAarXiv:1207.4461v22012
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu +7
q-bio.NCcs.LGcs.NEarXiv:2204.07054v32022
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
Sijie Mai, Ying Zeng, Shuangjia Zheng +1
cs.AIarXiv:2109.01797v12021
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi, James Kotary, Senne Berden +4
cs.LGcs.AImath.OCarXiv:2307.13565v42023
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Thomas Wang, Adam Roberts, Daniel Hesslow +5
cs.CLcs.LGstat.MLarXiv:2204.05832v12022
Reproducible macroscopic dynamics in a closed-loop human-AI learning system
Minlin Wu, Xu Fang, Yicheng Zhang +2
cs.LGnlin.AOarXiv:2608.30946v12026
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
cs.IRcs.LGcs.PFarXiv:1711.07601v12017
Hybrid LiFi and WiFi Networks: A Survey
Xiping Wu, Mohammad Dehghani Soltani, Lai Zhou +2
cs.ITarXiv:2001.04840v12020
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Ali Cheraghian, Shafin Rahman, Pengfei Fang +3
cs.CVarXiv:2103.04059v22021
Sampling from the thermal quantum Gibbs state and evaluating partition functions with a quantum computer
David Poulin, Pawel Wocjan
quant-pharXiv:0905.2199v22009
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu, Hongming Zhang, Xiaoman Pan +3
cs.CLcs.AIarXiv:2311.09210v22023
NASA: Neural Articulated Shape Approximation
Boyang Deng, JP Lewis, Timothy Jeruzalski +4
cs.CVcs.GRcs.LGarXiv:1912.03207v52019
Yelp Dataset Challenge: Review Rating Prediction
Nabiha Asghar
cs.CLcs.IRcs.LGarXiv:1605.05362v12016
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers
Ding Zhao, Xianan Huang, Huei Peng +2
cs.OHarXiv:1607.02687v22016
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma, Yixin Cao, YongChing Hong +1
cs.CLcs.AIarXiv:2303.08559v22023
Hierarchical Agglomerative Clustering for Efficient Annual Voltage Security Assessment in Very-High RES Penetrated Power Systems
Rock Agon, Robin Preece, Jovica V. Milanovic
eess.SYarXiv:2608.28296v12026
Explainability in Human-Agent Systems
Avi Rosenfeld, Ariella Richardson
cs.AIarXiv:1904.08123v12019
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
cs.CVcs.LGcs.NEarXiv:1707.01220v22017
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
Bingbing Li, Santosh Pandey, Haowen Fang +7
cs.DCcs.LGarXiv:2007.08563v12020
Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces
Andrei Costin, Apostolis Zarras, Aurélien Francillon
cs.CRcs.DCcs.NIarXiv:1511.03609v12015
Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods
Sebastian Buschjäger, Nuwan Gunasekara, Heitor Murilo Gomes
cs.LGcs.AIcs.PFarXiv:2608.30923v12026
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Shengjie Liu, Qian Shi, Liangpei Zhang
cs.CVarXiv:2009.03508v12020
A practical guide to stochastic simulations of reaction-diffusion processes
Radek Erban, Jonathan Chapman, Philip Maini
q-bio.SCphysics.ed-phq-bio.QMarXiv:0704.1908v22007
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack, Sophie Hilgard, Sameer Singh +1
cs.LGstat.MLarXiv:2008.05030v42020
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar, Alessandro Achille, Avinash Ravichandran +2
cs.LGcs.AIcs.CVarXiv:2012.13431v22020
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Chenyang Lyu, Minghao Wu, Longyue Wang +5
cs.CLcs.AIcs.CVarXiv:2306.09093v12023
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.NEarXiv:1710.11622v32017
TABBIE: Pretrained Representations of Tabular Data
Hiroshi Iida, Dung Thai, Varun Manjunatha +1
cs.CLarXiv:2105.02584v12021
Practical Whole-System Provenance Capture
Thomas Pasquier, Xueyuan Han, Mark Goldstein +4
cs.CRarXiv:1711.05296v12017
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics
Anirudha Majumdar, Marco Pavone
cs.ROcs.AIeess.SYarXiv:1710.11040v22017
Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)
Farhad Mehdifar, Charalampos P. Bechlioulis, Farzad Hashemzadeh +1
eess.SYcs.MAcs.ROarXiv:1911.07266v22019
Structural Change and Random Graph Models in Global Oil Trade Networks
Anthony Bonato, Vincent Luong, Kyne Santos
cs.SIarXiv:2608.28474v12026
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng
cs.CVarXiv:2109.02079v12021
A Universal Context-Reuse Layer for Cross-Model KV Sharing
Yi Li, Dongming Jiang, Yi Zhao +1
cs.LGcs.AIarXiv:2608.30963v12026
What happens when software developers are (un)happy
Daniel Graziotin, Fabian Fagerholm, Xiaofeng Wang +1
cs.SEcs.CYarXiv:1707.00432v32017
Medical Visual Question Answering: A Survey
Zhihong Lin, Donghao Zhang, Qingyi Tao +5
cs.CVcs.AIarXiv:2111.10056v32021
Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute
Xiaoyang Li, Runni Zhou
cs.LGarXiv:2608.30960v12026
Towards Deep Symbolic Reinforcement Learning
Marta Garnelo, Kai Arulkumaran, Murray Shanahan
cs.AIcs.LGarXiv:1609.05518v22016
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay, Keng Chai
cs.CVarXiv:2104.13897v32021
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang +9
cs.CVarXiv:2401.15977v22024
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong, Zhenghao Liu +1
cs.IRcs.CLarXiv:1904.07531v42019
Nonparametric Contextual Pricing and Inventory Learning under Censored Demand
Zean Han, Jing Liang, Ruihan Lin +2
cs.LGarXiv:2608.30944v12026
The Geometry of Differential Privacy: the Sparse and Approximate Cases
Aleksandar Nikolov, Kunal Talwar, Li Zhang
cs.DSarXiv:1212.0297v12012
Deep Learning with S-shaped Rectified Linear Activation Units
Xiaojie Jin, Chunyan Xu, Jiashi Feng +3
cs.CVarXiv:1512.07030v12015
S$^2$-MLP: Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai +2
cs.CVcs.AIcs.LGarXiv:2106.07477v22021
Multi-Information Source Optimization
Matthias Poloczek, Jialei Wang, Peter I. Frazier
stat.MLarXiv:1603.00389v22016
DDoSNet: A Deep-Learning Model for Detecting Network Attacks
Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev +1
cs.CRarXiv:2006.13981v12020
Effects of HRTF Augmentation on Predicted Spatial Release from Masking in Music
Jack Webb, Christophe Lesimple, Volker Kuehnel +1
eess.ASarXiv:2608.28422v12026
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Cynthia Rudin
stat.MLcs.LGarXiv:1811.10154v32018
PromptDet: Towards Open-vocabulary Detection using Uncurated Images
Chengjian Feng, Yujie Zhong, Zequn Jie +5
cs.CVarXiv:2203.16513v22022
Measuring Progress on Scalable Oversight for Large Language Models
Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez +43
cs.HCcs.AIcs.CLarXiv:2211.03540v22022

Every paper with a summary

A Comprehensive Review of Smart Wheelchairs: Past, Present and Future

Causal Machine Learning for Healthcare and Precision Medicine

Wilson: a Python package for the running and matching of Wilson coefficients above and below the electroweak scale

A predictive analytics approach for stroke prediction using machine learning and neural networks

Device calibration impacts security of quantum key distribution

DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion

Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting

An Empirical Study of Rich Subgroup Fairness for Machine Learning

Quadrature by Expansion: A New Method for the Evaluation of Layer Potentials

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reproducible macroscopic dynamics in a closed-loop human-AI learning system

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

Hybrid LiFi and WiFi Networks: A Survey

Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning

Sampling from the thermal quantum Gibbs state and evaluating partition functions with a quantum computer

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

NASA: Neural Articulated Shape Approximation

Yelp Dataset Challenge: Review Rating Prediction

Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Hierarchical Agglomerative Clustering for Efficient Annual Voltage Security Assessment in Very-High RES Penetrated Power Systems

Explainability in Human-Agent Systems

DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

FTRANS: Energy-Efficient Acceleration of Transformers using FPGA

Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces

Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods

Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning

A practical guide to stochastic simulations of reaction-diffusion processes

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

Mixed-Privacy Forgetting in Deep Networks

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm

TABBIE: Pretrained Representations of Tabular Data

Practical Whole-System Provenance Capture

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics

Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)

Structural Change and Random Graph Models in Global Oil Trade Networks

Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution

A Universal Context-Reuse Layer for Cross-Model KV Sharing

What happens when software developers are (un)happy

Medical Visual Question Answering: A Survey

Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute

Towards Deep Symbolic Reinforcement Learning

Inpainting Transformer for Anomaly Detection

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Understanding the Behaviors of BERT in Ranking

Nonparametric Contextual Pricing and Inventory Learning under Censored Demand

The Geometry of Differential Privacy: the Sparse and Approximate Cases

Deep Learning with S-shaped Rectified Linear Activation Units

S$^2$-MLP: Spatial-Shift MLP Architecture for Vision

Multi-Information Source Optimization

DDoSNet: A Deep-Learning Model for Detecting Network Attacks

Effects of HRTF Augmentation on Predicted Spatial Release from Masking in Music

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

PromptDet: Towards Open-vocabulary Detection using Uncurated Images

Measuring Progress on Scalable Oversight for Large Language Models