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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46,321 to 46,380 of 61,222

Gated Linear Attention Transformers with Hardware-Efficient Training
Songlin Yang, Bailin Wang, Yikang Shen +2
cs.LGcs.CLarXiv:2312.06635v62023
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian Yu, Mohammad Ali Maddah-Ali, A. Salman Avestimehr
cs.ITcs.DCarXiv:1705.10464v22017
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li, Haoyi Xiong, Xingjian Li +5
cs.LGarXiv:2103.10689v32021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Hongyu Ren +3
cs.LGarXiv:2103.09430v32021
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application
Te Han, Chao Liu, Wenguang Yang +1
cs.LGstat.MLarXiv:1804.07265v12018
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang +3
cs.CVarXiv:1805.10483v12018
Learning to Optimize Tensor Programs
Tianqi Chen, Lianmin Zheng, Eddie Yan +5
cs.LGstat.MLarXiv:1805.08166v42018
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.05446v22017
Giving Mechanical Engineers Intelligent Tools: A Project-Based AI Education Curriculum in Thermal Engineering
Changgen Li, Han Hu, Christy Dunlap +2
cs.CYarXiv:2608.26056v12026
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
George C. Linderman, Manas Rachh, Jeremy G. Hoskins +2
cs.LGstat.MLarXiv:1712.09005v12017
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu, Jiaxin Shi, Zhen Li +3
cs.CVarXiv:1604.07043v32016
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives
Chen Gao, Xiaochong Lan, Nian Li +5
cs.AIcs.CLcs.CYarXiv:2312.11970v12023
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik +3
cs.CVarXiv:1701.01619v22017
APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization
Sungyeob Yoo, Seeyeon Kim, Joonyong Park +2
cs.ARarXiv:2608.25380v12026
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu
cs.ROcs.CVarXiv:1904.06993v12019
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Kun Yi, Qi Zhang, Wei Fan +7
cs.LGcs.AIarXiv:2311.06184v12023
Post-Training Quantization for Vision Transformer
Zhenhua Liu, Yunhe Wang, Kai Han +2
cs.CVarXiv:2106.14156v12021
FreeSASA: An open source C library for solvent accessible surface area calculations
Simon Mitternacht
q-bio.BMarXiv:1601.06764v12016
Disentangling Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Rota Bulò, Lorenzo Porzi +2
cs.CVarXiv:1905.12365v12019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho, Xi Chen, Aravind Srinivas +2
cs.LGcs.NEstat.MLarXiv:1902.00275v22019
Reducing Activation Recomputation in Large Transformer Models
Vijay Korthikanti, Jared Casper, Sangkug Lym +4
cs.LGcs.CLarXiv:2205.05198v12022
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Ronen Eldan, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2305.07759v22023
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David M. Blei, Victor Veitch
stat.MLcs.LGstat.MEarXiv:1906.02120v22019
CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
Zhihao Du, Qian Chen, Shiliang Zhang +9
cs.SDcs.AIeess.ASarXiv:2407.05407v22024
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah Goodman
cs.LGstat.MLarXiv:1802.05335v32018
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
cs.LGcs.AIcs.CLarXiv:2403.03218v72024
Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks
Jingwei Li, Thomas G. Robertazzi
cs.DCarXiv:2608.25087v12026
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha, Jose Dolz
cs.CVarXiv:1906.02849v32019
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Xiaoyuan Liang, Xunsheng Du, Guiling Wang +1
cs.LGcs.AIstat.MLarXiv:1803.11115v12018
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman +3
cs.ROcs.AIcs.CVarXiv:2210.00030v22022
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Jie Xu, Lixing Chen, Pan Zhou
cs.DCarXiv:1801.05868v12018
Scene Text Visual Question Answering
Ali Furkan Biten, Ruben Tito, Andres Mafla +5
cs.CVarXiv:1905.13648v22019
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas, Dan Klein, Sergey Levine
cs.LGcs.NEarXiv:1611.01796v22016
Local, Private, Efficient Protocols for Succinct Histograms
Raef Bassily, Adam Smith
cs.CRcs.DScs.LGarXiv:1504.04686v12015
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Wenxuan Zhang, Xiaodong Cun, Xuan Wang +5
cs.CVarXiv:2211.12194v22022
MonoScene: Monocular 3D Semantic Scene Completion
Anh-Quan Cao, Raoul de Charette
cs.CVcs.AIcs.ROarXiv:2112.00726v22021
WaveOp-LiteFM: Lightweight Neural-Operator Flow Matching for Satellite-to-Radar Precipitation Retrieval
Chunlei Shi, Yecheng Zhang, Yufeng Zhu +4
cs.MMarXiv:2608.25818v12026
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang, Yang Hua, Hao Wang +4
cs.LGcs.AIarXiv:2212.01197v42022
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia +1
cs.IRcs.AIarXiv:2205.00976v22022
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
cs.NEcs.CVcs.LGarXiv:1412.6830v32014
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou +3
cs.LGcs.CVcs.NIarXiv:1908.00080v42019
Neighborhood Attention Transformer
Ali Hassani, Steven Walton, Jiachen Li +2
cs.CVcs.AIcs.LGarXiv:2204.07143v52022
Dynamic droop specifications for Grid-Forming Inverter-Based Resources
Jennifer T. Bui, Dominic Groß, Deepak Ramasubramanian
eess.SYarXiv:2608.25250v12026
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
Bruno Korbar, Du Tran, Lorenzo Torresani
cs.CVarXiv:1807.00230v22018
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark
Alexander Lavin, Subutai Ahmad
cs.AIcs.LGarXiv:1510.03336v42015
psRL: Efficient Training for Agentic AI via Training-Time Prefix Sharing
Mianjie Yu, Zizhao Mo, Huanyu Qu +8
cs.DCarXiv:2608.25683v12026
Framing War Across Languages: Power, Agency, and Sentiment in Wikipedia's Multilingual War Narratives
Jiarui Xia, Diego Gomez-Zara
cs.CYcs.SIarXiv:2608.25337v12026
Customized Segment Anything Model for Medical Image Segmentation
Kaidong Zhang, Dong Liu
cs.CVarXiv:2304.13785v22023
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song, Prateek Mittal
cs.CRcs.LGstat.MLarXiv:2003.10595v22020
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
Bowen Cheng, Ross Girshick, Piotr Dollár +2
cs.CVarXiv:2103.16562v12021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li, Varun Jampani, Laura Sevilla-Lara +3
cs.CVarXiv:2104.01893v22021
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Ke Sun, Kartik Mohta, Bernd Pfrommer +5
cs.ROarXiv:1712.00036v32017
InstantID: Zero-shot Identity-Preserving Generation in Seconds
Qixun Wang, Xu Bai, Haofan Wang +5
cs.CVcs.AIarXiv:2401.07519v22024
Required Number of Points in $L_2$ Marcinkiewicz-Zygmund Inequalities
Felix Bartel
math.NAarXiv:2608.25886v12026
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
Rayson Laroca, Evair Severo, Luiz A. Zanlorensi +4
cs.CVarXiv:1802.09567v62018
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
Sami Sarsa, Paul Denny, Arto Hellas +1
cs.SEcs.AIcs.CLarXiv:2206.11861v22022
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang +3
cs.IRcs.CLcs.LGarXiv:2303.14524v22023
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz, Karthik Gopinath, Jing Yuan +3
cs.CVarXiv:1804.02967v22018
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar +3
cs.CVcs.LGstat.MLarXiv:1811.08737v12018
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Qiwei Chen, Huan Zhao, Wei Li +2
cs.IRcs.LGarXiv:1905.06874v12019

Every paper with a summary

Gated Linear Attention Transformers with Hardware-Efficient Training

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication

Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

Learning to Optimize Tensor Programs

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

Giving Mechanical Engineers Intelligent Tools: A Project-Based AI Education Curriculum in Thermal Engineering

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Towards Better Analysis of Deep Convolutional Neural Networks

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Learning From Noisy Large-Scale Datasets With Minimal Supervision

APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization

Tightly Coupled 3D Lidar Inertial Odometry and Mapping

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Post-Training Quantization for Vision Transformer

FreeSASA: An open source C library for solvent accessible surface area calculations

Disentangling Monocular 3D Object Detection

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

Reducing Activation Recomputation in Large Transformer Models

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Adapting Neural Networks for the Estimation of Treatment Effects

CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens

Multimodal Generative Models for Scalable Weakly-Supervised Learning

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Probabilistic Performance Analysis of Parallel Signature Search Strategies in Multi-Level Tree Networks

Multi-scale self-guided attention for medical image segmentation

Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

Scene Text Visual Question Answering

Modular Multitask Reinforcement Learning with Policy Sketches

Local, Private, Efficient Protocols for Succinct Histograms

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

MonoScene: Monocular 3D Semantic Scene Completion

WaveOp-LiteFM: Lightweight Neural-Operator Flow Matching for Satellite-to-Radar Precipitation Retrieval

FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Knowledge Graph Contrastive Learning for Recommendation

Learning Activation Functions to Improve Deep Neural Networks

Machine Learning at the Network Edge: A Survey

Neighborhood Attention Transformer

Dynamic droop specifications for Grid-Forming Inverter-Based Resources

Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

psRL: Efficient Training for Agentic AI via Training-Time Prefix Sharing

Framing War Across Languages: Power, Agency, and Sentiment in Wikipedia's Multilingual War Narratives

Customized Segment Anything Model for Medical Image Segmentation

Systematic Evaluation of Privacy Risks of Machine Learning Models

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

InstantID: Zero-shot Identity-Preserving Generation in Seconds

Required Number of Points in $L_2$ Marcinkiewicz-Zygmund Inequalities

A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

Automatic Generation of Programming Exercises and Code Explanations using Large Language Models

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

SpotTune: Transfer Learning through Adaptive Fine-tuning

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba