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)

61,741 to 61,800 of 105,019

Blockchain based trust & authentication for decentralized sensor networks
Axel Moinet, Benoît Darties, Jean-Luc Baril
cs.CRcs.DCarXiv:1706.01730v12017
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
Ankan Dash, Junyi Ye, Guiling Wang
cs.LGcs.AIcs.CVarXiv:2110.01442v12021
Physics Informed Neural Networks for Simulating Radiative Transfer
Siddhartha Mishra, Roberto Molinaro
cs.LGstat.MLarXiv:2009.13291v32020
GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality
Jaewook Lee, Jun Wang, Elizabeth Brown +3
cs.HCarXiv:2404.08213v12024
Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
Qingxiang Wang, Chad Brown, Cezary Kaliszyk +1
cs.LOcs.CLcs.LGarXiv:1912.02636v22019
Single-photon computational 3D imaging at 45 km
Zheng-Ping Li, Xin Huang, Yuan Cao +9
eess.IVphysics.opticsarXiv:1904.10341v12019
Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems
Tengchan Zeng, Omid Semiari, Walid Saad +1
cs.ITarXiv:1804.05290v22018
$D^{2}R^{2}$: Discrete Diffusion with Regulation Reinforcement for Single-Cell Perturbation Prediction
Ninghan Fan, Qi Liu, Xunuo Zhu +9
cs.AIarXiv:2608.15288v12026
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
Zhepei Wei, Wenlin Yao, Yao Liu +9
cs.CLcs.LGarXiv:2505.16421v22025
FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
Yu Dong, Yihao Liu, He Zhang +2
cs.CVarXiv:2001.06968v22020
Efficient Magic State Distillation by Zero-Level Distillation
Tomohiro Itogawa, Yugo Takada, Yutaka Hirano +1
quant-pharXiv:2403.03991v22024
On the Integration of Self-Attention and Convolution
Xuran Pan, Chunjiang Ge, Rui Lu +4
cs.CVarXiv:2111.14556v22021
Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network
Heng Pan
eess.IVcs.CVarXiv:2009.13015v22020
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal, Chantat Eksombatchai, Yitong Zhou +3
cs.LGcs.IRcs.SIarXiv:2007.03634v12020
Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning
Peihao Wang, Shan Yang, Xijun Wang +8
cs.LGarXiv:2603.09221v22026
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi, Jiebo Luo
cs.CVarXiv:1903.11260v22019
V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval
Dongyang Chen, Chaoyang Wang, Dezhao Su +6
cs.CVarXiv:2602.06034v22026
The Diversity-Innovation Paradox in Science
Bas Hofstra, Vivek V. Kulkarni, Sebastian Munoz-Najar Galvez +3
cs.SIcs.CLstat.AParXiv:1909.02063v22019
Automata from Agent Traces: Failure and Next-Step Prediction
Seonglae Cho, Franklin Cardenoso Fernandez, Umar Mohammed +4
cs.AIcs.CLcs.LGarXiv:2608.23670v12026
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul, Mete Ismayilzada, Maxime Peyrard +4
cs.CLarXiv:2304.01904v22023
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang, Jie Qin, Yi Zhou +3
cs.LGcs.CVstat.MLarXiv:2009.12836v12020
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao +2
cs.CVcs.LGeess.IVarXiv:1910.06809v32019
Adding transmitters dramatically boosts coded-caching gains for finite file sizes
Eleftherios Lampiris, Petros Elia
cs.ITarXiv:1802.03389v12018
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Xingjia Pan, Yuqiang Ren, Kekai Sheng +5
cs.CVarXiv:2005.09973v22020
Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation
Natan Vidra, Alina Kapanova, Arun Kanhai +1
cs.AIcs.MAarXiv:2609.26059v12026
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
Shiwen Ni, Jiawen Li, Hung-Yu Kao
cs.CLarXiv:2506.01627v12025
A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
Yupeng Zhou, Can Cui, Juntong Peng +5
cs.ROcs.SYeess.SYarXiv:2506.14100v12025
Making Harmful Behaviors Unlearnable for Large Language Models
Xin Zhou, Yi Lu, Ruotian Ma +3
cs.LGcs.AIcs.CYarXiv:2311.02105v12023
Exploiting Novel GPT-4 APIs
Kellin Pelrine, Mohammad Taufeeque, Michał Zając +2
cs.CRcs.AIcs.CLarXiv:2312.14302v22023
Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong, Peter Zhang, Steve Li +3
cs.CLcs.AIcs.LGarXiv:2302.14233v22023
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu +2
stat.MLcs.LGmath.OCarXiv:1905.00877v62019
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
Yuming Du, Robin Kips, Albert Pumarola +3
cs.CVarXiv:2304.08577v12023
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B
Pranav Gade, Simon Lermen, Charlie Rogers-Smith +1
cs.CLarXiv:2311.00117v32023
Embedding Uncertain Knowledge Graphs
Xuelu Chen, Muhao Chen, Weijia Shi +2
cs.AIcs.CLarXiv:1811.10667v22018
Investigating self-supervised front ends for speech spoofing countermeasures
Xin Wang, Junichi Yamagishi
eess.AScs.SDarXiv:2111.07725v32021
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu, Guoxin Wang, Börje F. Karlsson
cs.CLarXiv:1904.02141v32019
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou, Hui Wang, Wayne Xin Zhao +5
cs.IRcs.LGarXiv:2008.07873v12020
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Haotian Zhang, Haoxuan You, Philipp Dufter +8
cs.CVarXiv:2404.07973v12024
Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
Zhen Yang, Zi-Yi Dou, Di Feng +13
cs.CVcs.CLcs.LGarXiv:2509.26539v12025
Power Control for D2D Underlaid Cellular Networks: Modeling, Algorithms and Analysis
Namyoon Lee, Xingqin Lin, Jeffrey G. Andrews +1
cs.ITarXiv:1305.6161v22013
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah Goodman
cs.LGstat.MLarXiv:1802.05335v32018
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chi Chen, Weike Ye, Yunxing Zuo +2
cond-mat.mtrl-sciphysics.comp-pharXiv:1812.05055v22018
On the Use of Deep Learning in Software Defect Prediction
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal +2
cs.SEarXiv:2210.02236v12022
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu +5
cs.AIcs.LGarXiv:2110.01167v22021
Image Generation with a Sphere Encoder
Kaiyu Yue, Menglin Jia, Ji Hou +1
cs.CVarXiv:2602.15030v12026
A Length-Extrapolatable Transformer
Yutao Sun, Li Dong, Barun Patra +6
cs.CLarXiv:2212.10554v12022
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi +3
cs.LGcs.AIquant-pharXiv:1907.00397v32019
Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence
Steven H. Low
math.OCeess.SYarXiv:1405.0766v12014
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Luna Dong, Simon Razniewski +1
cs.AIcs.DBarXiv:2009.11564v22020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
cs.LGstat.MLarXiv:2007.03511v12020
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang, Hanwang Zhang, Jinhui Tang +2
cs.CVarXiv:2009.12547v22020
Generalized Fisher Score for Feature Selection
Quanquan Gu, Zhenhui Li, Jiawei Han
cs.LGstat.MLarXiv:1202.3725v12012
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu +6
cs.CLcs.LGstat.MLarXiv:2006.16668v12020
Deep Image Retrieval: Learning global representations for image search
Albert Gordo, Jon Almazan, Jerome Revaud +1
cs.CVarXiv:1604.01325v22016
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
Byungseok Roh, JaeWoong Shin, Wuhyun Shin +1
cs.CVcs.LGarXiv:2111.14330v22021
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
cs.CVarXiv:1504.06201v32015
HGRN2: Gated Linear RNNs with State Expansion
Zhen Qin, Songlin Yang, Weixuan Sun +4
cs.CLarXiv:2404.07904v22024
Scalability Aspects of Cell-Free Massive MIMO
Giovanni Interdonato, Pål Frenger, Erik G. Larsson
cs.ITeess.SParXiv:1902.11275v22019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere +6
eess.AScs.CLcs.LGarXiv:1910.06711v32019
Learning a Natural Language Interface with Neural Programmer
Arvind Neelakantan, Quoc V. Le, Martin Abadi +2
cs.CLcs.LGstat.MLarXiv:1611.08945v42016

Every paper with a summary

Blockchain based trust & authentication for decentralized sensor networks

A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

Physics Informed Neural Networks for Simulating Radiative Transfer

GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality

Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar

Single-photon computational 3D imaging at 45 km

Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems

$D^{2}R^{2}$: Discrete Diffusion with Regulation Reinforcement for Single-Cell Perturbation Prediction

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning

FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing

Efficient Magic State Distillation by Zero-Level Distillation

On the Integration of Self-Attention and Convolution

Cloud Removal for Remote Sensing Imagery via Spatial Attention Generative Adversarial Network

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning

Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval

The Diversity-Innovation Paradox in Science

Automata from Agent Traces: Failure and Next-Step Prediction

REFINER: Reasoning Feedback on Intermediate Representations

Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

Adding transmitters dramatically boosts coded-caching gains for finite file sizes

Dynamic Refinement Network for Oriented and Densely Packed Object Detection

Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving

Making Harmful Behaviors Unlearnable for Large Language Models

Exploiting Novel GPT-4 APIs

Goal Driven Discovery of Distributional Differences via Language Descriptions

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model

BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B

Embedding Uncertain Knowledge Graphs

Investigating self-supervised front ends for speech spoofing countermeasures

CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents

Power Control for D2D Underlaid Cellular Networks: Modeling, Algorithms and Analysis

Multimodal Generative Models for Scalable Weakly-Supervised Learning

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

On the Use of Deep Learning in Software Defect Prediction

Trustworthy AI: From Principles to Practices

Image Generation with a Sphere Encoder

A Length-Extrapolatable Transformer

Variational Quantum Circuits for Deep Reinforcement Learning

Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

Causal Intervention for Weakly-Supervised Semantic Segmentation

Generalized Fisher Score for Feature Selection

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Deep Image Retrieval: Learning global representations for image search

Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity

High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision

HGRN2: Gated Linear RNNs with State Expansion

Scalability Aspects of Cell-Free Massive MIMO

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Learning a Natural Language Interface with Neural Programmer