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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40,621 to 40,680 of 61,428

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie +4
cs.LGcs.AIarXiv:2409.16040v42024
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Jinheng Xie, Yuexiang Li, Yawen Huang +4
cs.CVarXiv:2307.10816v42023
DeepER -- Deep Entity Resolution
Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq Joty +2
cs.DBarXiv:1710.00597v62017
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck, Gholamreza Haffari, Trevor Cohn
cs.CLcs.LGarXiv:1806.09835v12018
Objects are Different: Flexible Monocular 3D Object Detection
Yunpeng Zhang, Jiwen Lu, Jie Zhou
cs.CVarXiv:2104.02323v12021
Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
Gerard Maggiolino, Adnan Ahmad, Jinkun Cao +1
cs.CVarXiv:2302.11813v12023
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li, Ju Hu, Yang Wen +5
cs.CVcs.AIcs.LGarXiv:2212.08059v22022
Continuous Inverse Optimal Control with Locally Optimal Examples
Sergey Levine, Vladlen Koltun
cs.LGcs.AIstat.MLarXiv:1206.4617v12012
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramèr, Dan Boneh
cs.LGcs.CRstat.MLarXiv:2011.11660v32020
Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC
Li Fan, Shi Jin, Chao-Kai Wen +1
cs.ITarXiv:1512.00658v12015
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger, Chong Wang, Eric Xing
stat.MLcs.DCcs.LGarXiv:1311.4780v22013
VTimeLLM: Empower LLM to Grasp Video Moments
Bin Huang, Xin Wang, Hong Chen +2
cs.CVarXiv:2311.18445v12023
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei, Kihyuk Sohn, Clayton Mellina +2
cs.CVarXiv:2102.09559v22021
NURBS-based finite element analysis of functionally graded plates: static bending, vibration, buckling and flutter
Navid Valizadeh, Sundararajan Natarajan, Octavio A Gonzalez-Estrada +3
math.NAarXiv:1210.4676v32012
Experimental Realization of Universal Geometric Quantum Gates with Solid-State Spins
C. Zu, W. -B. Wang, L. He +4
quant-pharXiv:1411.3157v12014
Large Language Models for Data Annotation and Synthesis: A Survey
Zhen Tan, Dawei Li, Song Wang +7
cs.CLarXiv:2402.13446v32024
Neural Radiance Flow for 4D View Synthesis and Video Processing
Yilun Du, Yinan Zhang, Hong-Xing Yu +2
cs.CVcs.LGcs.ROarXiv:2012.09790v22020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka
cs.ROcs.CVcs.LGarXiv:2001.08726v32020
Game-theoretic Resource Allocation Methods for Device-to-Device (D2D) Communication
Lingyang Song, Dusit Niyato, Zhu Han +1
cs.NIarXiv:1403.5723v12014
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
Thomas Neff, Pascal Stadlbauer, Mathias Parger +5
cs.CVcs.GRarXiv:2103.03231v42021
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders
Marc Rußwurm, Marco Körner
cs.CVarXiv:1802.02080v42018
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong +11
cs.AIcs.LGphysics.ao-pharXiv:2304.02948v12023
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
Siyuan Liang, Hao Wu
cs.CVcs.LGeess.SParXiv:2205.14942v12022
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang, Guiguang Ding, Jungong Han
cs.CVcs.LGstat.MLarXiv:2001.01536v32020
Network Characteristics of Video Streaming Traffic
Ashwin Rao, Yeon-Sup Lim, Chadi Barakat +3
cs.NIcs.MMarXiv:1111.0948v12011
Sobolev Training for Neural Networks
Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg +2
cs.LGarXiv:1706.04859v32017
Deep learning: a statistical viewpoint
Peter L. Bartlett, Andrea Montanari, Alexander Rakhlin
math.STcs.LGstat.MLarXiv:2103.09177v12021
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo +1
cs.CLarXiv:1608.04631v22016
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyu Li, Francesco Orabona
stat.MLcs.LGmath.OCarXiv:1805.08114v32018
WikiHow: A Large Scale Text Summarization Dataset
Mahnaz Koupaee, William Yang Wang
cs.CLcs.IRcs.LGarXiv:1810.09305v12018
What graph neural networks cannot learn: depth vs width
Andreas Loukas
cs.LGstat.MLarXiv:1907.03199v22019
Coded Slotted ALOHA: A Graph-Based Method for Uncoordinated Multiple Access
Enrico Paolini, Gianluigi Liva, Marco Chiani
cs.ITarXiv:1401.1626v22014
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Qingyu Zhou, Nan Yang, Furu Wei +3
cs.CLarXiv:1807.02305v12018
Image Super-Resolution by Neural Texture Transfer
Zhifei Zhang, Zhaowen Wang, Zhe Lin +1
cs.CVarXiv:1903.00834v22019
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma, Zixing Song, Yuzheng Zhuang +2
cs.ROcs.CLcs.CVarXiv:2405.14093v82024
DOC: Deep Open Classification of Text Documents
Lei Shu, Hu Xu, Bing Liu
cs.CLarXiv:1709.08716v12017
Integrated Sensing and Communication-assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks
Weijie Yuan, Zhiqiang Wei, Shuangyang Li +2
eess.SParXiv:2105.03125v22021
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
Thierry Bouwmans, Andrews Sobral, Sajid Javed +2
cs.CVarXiv:1511.01245v32015
AI Methods in Algorithmic Composition: A Comprehensive Survey
Jose David Fernandez, Francisco Vico
cs.AIarXiv:1402.0585v12014
Machine learning based spatio-temporal super resolution reconstruction of turbulent flows
Kai Fukami, Koji Fukagata, Kunihiko Taira
physics.flu-dynphysics.comp-pharXiv:2004.11566v22020
On Gridless Sparse Methods for Line Spectral Estimation From Complete and Incomplete Data
Zai Yang, Lihua Xie
cs.ITstat.MLarXiv:1407.2490v22014
Detecting Hate Speech in Social Media
Shervin Malmasi, Marcos Zampieri
cs.CLarXiv:1712.06427v22017
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
Gongping Chen, Yu Dai, Jianxun Zhang +1
eess.IVcs.CVcs.LGarXiv:2204.12077v32022
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura +3
cs.LGeess.SPstat.MLarXiv:2006.06224v22020
An exact mapping between the Variational Renormalization Group and Deep Learning
Pankaj Mehta, David J. Schwab
stat.MLcond-mat.stat-mechcs.LGarXiv:1410.3831v12014
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
Taban Eslami, Vahid Mirjalili, Alvis Fong +2
cs.LGeess.IVstat.MLarXiv:1904.07577v12019
Input-to-State Safety With Control Barrier Functions
Shishir Kolathaya, Aaron D. Ames
math.OCarXiv:1803.03035v32018
POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting
Sadegh M. Milajerdi, Birhanu Eshete, Rigel Gjomemo +1
cs.CRarXiv:1910.00056v12019
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Xiang Li, Wenhai Wang, Xiaolin Hu +3
cs.CVarXiv:2011.12885v12020
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
Yupeng Hou, Jiacheng Li, Xiangjun Fu +4
cs.IRarXiv:2403.03952v22024
Dual Discriminator Generative Adversarial Nets
Tu Dinh Nguyen, Trung Le, Hung Vu +1
cs.LGstat.MLarXiv:1709.03831v12017
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai, Mohammad Saberian, Nuno Vasconcelos
cs.CVarXiv:1507.05348v12015
Learning Video Object Segmentation with Visual Memory
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
cs.CVarXiv:1704.05737v22017
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
Da Zhang, Xiyang Dai, Xin Wang +2
cs.CVarXiv:1812.00087v22018
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar, Fabrizio Frasca, Yu Guang Wang +4
cs.LGcs.SIarXiv:2103.03212v22021
Knowledge Distillation Meets Self-Supervision
Guodong Xu, Ziwei Liu, Xiaoxiao Li +1
cs.CVarXiv:2006.07114v22020
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Guan Wang, Sijie Cheng, Xianyuan Zhan +3
cs.CLarXiv:2309.11235v22023
The Discrete Gaussian for Differential Privacy
Clément L. Canonne, Gautam Kamath, Thomas Steinke
cs.DScs.CRstat.MLarXiv:2004.00010v62020
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang, Rongyuan Wu, Peiran Ren +2
cs.CVarXiv:2308.14469v42023
Measuring short-form factuality in large language models
Jason Wei, Nguyen Karina, Hyung Won Chung +5
cs.CLarXiv:2411.04368v12024

Every paper with a summary

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

DeepER -- Deep Entity Resolution

Graph-to-Sequence Learning using Gated Graph Neural Networks

Objects are Different: Flexible Monocular 3D Object Detection

Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification

Rethinking Vision Transformers for MobileNet Size and Speed

Continuous Inverse Optimal Control with Locally Optimal Examples

Differentially Private Learning Needs Better Features (or Much More Data)

Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC

Asymptotically Exact, Embarrassingly Parallel MCMC

VTimeLLM: Empower LLM to Grasp Video Moments

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

NURBS-based finite element analysis of functionally graded plates: static bending, vibration, buckling and flutter

Experimental Realization of Universal Geometric Quantum Gates with Solid-State Spins

Large Language Models for Data Annotation and Synthesis: A Survey

Neural Radiance Flow for 4D View Synthesis and Video Processing

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

Game-theoretic Resource Allocation Methods for Device-to-Device (D2D) Communication

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

Network Characteristics of Video Streaming Traffic

Sobolev Training for Neural Networks

Deep learning: a statistical viewpoint

Neural versus Phrase-Based Machine Translation Quality: a Case Study

On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes

WikiHow: A Large Scale Text Summarization Dataset

What graph neural networks cannot learn: depth vs width

Coded Slotted ALOHA: A Graph-Based Method for Uncoordinated Multiple Access

Neural Document Summarization by Jointly Learning to Score and Select Sentences

Image Super-Resolution by Neural Texture Transfer

A Survey on Vision-Language-Action Models for Embodied AI

DOC: Deep Open Classification of Text Documents

Integrated Sensing and Communication-assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks

Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

AI Methods in Algorithmic Composition: A Comprehensive Survey

Machine learning based spatio-temporal super resolution reconstruction of turbulent flows

On Gridless Sparse Methods for Line Spectral Estimation From Complete and Incomplete Data

Detecting Hate Speech in Social Media

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images

A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning

An exact mapping between the Variational Renormalization Group and Deep Learning

ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data

Input-to-State Safety With Control Barrier Functions

POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Dual Discriminator Generative Adversarial Nets

Learning Complexity-Aware Cascades for Deep Pedestrian Detection

Learning Video Object Segmentation with Visual Memory

MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks

Knowledge Distillation Meets Self-Supervision

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

The Discrete Gaussian for Differential Privacy

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Measuring short-form factuality in large language models