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)

43,561 to 43,620 of 61,235

The fundamental advantages of temporal networks
Aming Li, Sean P. Cornelius, Yang-Yu Liu +2
nlin.AOarXiv:1607.06168v12016
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
cs.NEcs.CVcs.LGarXiv:2003.01811v22020
AROMA+: A Study of Factors Affecting Reproducible Builds in the Maven Ecosystem
Mehdi Keshani, Amirhossein Rahmati, Mohammad Hossein Aref +1
cs.SEarXiv:2608.27125v12026
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim +1
cs.LGcs.AIarXiv:2110.01548v22021
Tensegrity Continuum Robots Enable Task-Adaptive Morphologies for Cooperative Behaviors
Mahmud Hasan Saikot, Sydney Spiegel, Sudheera Akalanka Kariyawasam +3
cs.ROarXiv:2608.27221v12026
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus +2
cs.CVarXiv:1412.0767v42014
Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick, Alex Kendall, Roberto Cipolla
cs.CVarXiv:1811.08188v12018
Modeling the adoption and use of social media by nonprofit organizations
Seungahn Nah, Gregory D. Saxton
cs.CYcs.HCarXiv:1208.3394v12012
Hyperbolic Image Embeddings
Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova +2
cs.CVcs.LGarXiv:1904.02239v22019
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider, Barnabas Poczos
stat.MLcs.LGarXiv:1503.01673v32015
Genetic progression and the waiting time to cancer
Niko Beerenwinkel, Tibor Antal, David Dingli +5
q-bio.PEq-bio.QMarXiv:0707.3770v12007
Learnable latent embeddings for joint behavioral and neural analysis
Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis
cs.LGq-bio.NCq-bio.QMarXiv:2204.00673v22022
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma +2
cs.LGcs.CVarXiv:2309.06380v22023
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang, Xue Liu
cs.IRarXiv:1906.09217v12019
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
cs.CVcs.AIarXiv:2312.00858v22023
Contact-Aided Factor-Graph Localization for Underwater Sampling
Michele Grimaldi, Yosaku Maeda, Hitoshi Kakami +3
cs.ROarXiv:2608.26932v12026
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei, Renchunzi Xie, Hao Cheng +3
cs.LGarXiv:2205.09310v22022
Identity Matters in Deep Learning
Moritz Hardt, Tengyu Ma
cs.LGcs.NEstat.MLarXiv:1611.04231v32016
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph
Fei Yu, Jiji Tang, Weichong Yin +4
cs.CVcs.CLarXiv:2006.16934v32020
Track to Detect and Segment: An Online Multi-Object Tracker
Jialian Wu, Jiale Cao, Liangchen Song +3
cs.CVarXiv:2103.08808v12021
Beyond Vector Hiding: Breaking and Mitigating Shared-Direction Weight Obfuscation in TEE-Offloaded Large Language Models
Menghui Zhang, Aoying Zheng, Guoxiao Liu +4
cs.CRarXiv:2608.26651v12026
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5
cs.ROcs.AIcs.CVarXiv:2310.17596v12023
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu, Xiaosong Jia, Li Chen +3
cs.CVcs.AIcs.ROarXiv:2206.08129v22022
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
Tu Vu, Mohit Iyyer, Xuezhi Wang +8
cs.CLarXiv:2310.03214v22023
Unsaid, Unsafe? Implicit Security Obligations in LLM-Based RTL Code Generation
Guang Yang, Xing Hu, Xiang Chen +1
cs.CRcs.SEarXiv:2608.26588v12026
Deep Learning for Answer Sentence Selection
Lei Yu, Karl Moritz Hermann, Phil Blunsom +1
cs.CLarXiv:1412.1632v12014
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt +3
cs.LGcs.DSarXiv:1411.2664v32014
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo +3
cs.CLcs.AIcs.LGarXiv:2309.03883v22023
Truss Decomposition in Massive Networks
Jia Wang, James Cheng
cs.DBarXiv:1205.6693v12012
Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus
George Danezis, Eleftherios Kokoris Kogias, Alberto Sonnino +1
cs.CRcs.DCarXiv:2105.11827v42021
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He +2
cs.CLcs.AIcs.LGarXiv:2312.15685v22023
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus, Eric Moulines
math.STstat.MEstat.MLarXiv:1605.01559v42016
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
Jiaqi Mu, Suma Bhat, Pramod Viswanath
cs.CLstat.MLarXiv:1702.01417v22017
Planning a Shared Modular Fixture Layout Across Robotic Disassembly Stages
Haohui Pan, Takuya Kiyokawa, Kensuke Harada
cs.ROarXiv:2608.27151v12026
A Poissonian explanation for heavy-tails in e-mail communication
R. Dean Malmgren, Daniel B. Stouffer, Adilson E. Motter +1
physics.soc-phcs.CYphysics.data-anarXiv:0901.0585v12009
GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation
Yibo Qiu, Haoliang Ye, Shu'ang Sun +3
cs.ROarXiv:2608.27079v12026
High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis -- With an Application to Gravitational-Wave Signal
Duong-Hung Pham, Sylvain Meignen
eess.SPmath.FAarXiv:2004.09399v12020
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh +2
cs.LGcs.AIcs.PLarXiv:1804.02477v32018
Optimal Pricing in Networks with Externalities
Ozan Candogan, Kostas Bimpikis, Asuman Ozdaglar
cs.GTcs.NIarXiv:1101.5617v12011
Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks
Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes +1
cs.NIarXiv:1802.06958v12018
The Contextual Loss for Image Transformation with Non-Aligned Data
Roey Mechrez, Itamar Talmi, Lihi Zelnik-Manor
cs.CVcs.LGarXiv:1803.02077v42018
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero +4
cs.LGarXiv:1608.05343v22016
Computing a Nonnegative Matrix Factorization -- Provably
Sanjeev Arora, Rong Ge, Ravi Kannan +1
cs.DScs.LGarXiv:1111.0952v12011
Beyond Shallow-Water Photorealism: Physically and Sensor-Grounded Simulation for Deep-Sea Robotics
Michele Grimaldi, Enrico Di Maria, Ignacio Carlucho +1
cs.ROarXiv:2608.26888v12026
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
cs.LGcs.NEstat.MLarXiv:1910.11858v32019
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank, Anders Søgaard, Yoav Goldberg
cs.CLarXiv:1604.05529v32016
Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT
Lucia Sundberg, Zhihao Zhao, M. Ali Nasseri
cs.CVarXiv:2608.27095v12026
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
cs.LGcs.NEcs.ROarXiv:2005.00611v42020
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
cs.CVcs.CRcs.CYarXiv:1703.10660v22017
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi +11
cs.IRcs.AIarXiv:2306.05817v62023
Bridging short- and medium-range weather forecasting with machine learning
Timothy A. Smith, Mariah Pope, Sergey Frolov +4
physics.ao-phcs.LGarXiv:2608.26822v12026
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks, Can Rager, Eric J. Michaud +3
cs.LGcs.AIcs.CLarXiv:2403.19647v32024
Skew braces and the Yang-Baxter equation
L. Guarnieri, L. Vendramin
math.QAmath.GRarXiv:1511.03171v32015
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson, Henry Gouk, Chen Change Loy +1
cs.LGcs.CVstat.MLarXiv:2110.09327v12021
Generalized Louvain Method for Community Detection in Large Networks
Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara +1
cs.SIphysics.soc-pharXiv:1108.1502v22011
End-to-End Simulation of 5G mmWave Networks
Marco Mezzavilla, Menglei Zhang, Michele Polese +4
cs.NIarXiv:1705.02882v32017
JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocols
Chen Chen, Yaolin Chen, Xuehan Sun +5
cs.CLarXiv:2608.26982v12026
Structure and dynamics of core-periphery networks
Peter Csermely, Andras London, Ling-Yun Wu +1
physics.soc-phcs.NIcs.SIarXiv:1309.6928v22013
Preserving General Capabilities during Domain Specialization with Uncertainty-Calibrated MOPD
Ziyuan Liu, Jiao Ou, Jian Liang +2
cs.CLarXiv:2608.26735v12026

Every paper with a summary

The fundamental advantages of temporal networks

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

AROMA+: A Study of Factors Affecting Reproducible Builds in the Maven Ecosystem

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

Tensegrity Continuum Robots Enable Task-Adaptive Morphologies for Cooperative Behaviors

Learning Spatiotemporal Features with 3D Convolutional Networks

Orthographic Feature Transform for Monocular 3D Object Detection

Modeling the adoption and use of social media by nonprofit organizations

Hyperbolic Image Embeddings

High Dimensional Bayesian Optimisation and Bandits via Additive Models

Genetic progression and the waiting time to cancer

Learnable latent embeddings for joint behavioral and neural analysis

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Hierarchical Gating Networks for Sequential Recommendation

DeepCache: Accelerating Diffusion Models for Free

Contact-Aided Factor-Graph Localization for Underwater Sampling

Mitigating Neural Network Overconfidence with Logit Normalization

Identity Matters in Deep Learning

ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph

Track to Detect and Segment: An Online Multi-Object Tracker

Beyond Vector Hiding: Breaking and Mitigating Shared-Direction Weight Obfuscation in TEE-Offloaded Large Language Models

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Beyond Parity: Fairness Objectives for Collaborative Filtering

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Unsaid, Unsafe? Implicit Security Obligations in LLM-Based RTL Code Generation

Deep Learning for Answer Sentence Selection

Preserving Statistical Validity in Adaptive Data Analysis

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Truss Decomposition in Massive Networks

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

Planning a Shared Modular Fixture Layout Across Robotic Disassembly Stages

A Poissonian explanation for heavy-tails in e-mail communication

GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation

High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis -- With an Application to Gravitational-Wave Signal

Programmatically Interpretable Reinforcement Learning

Optimal Pricing in Networks with Externalities

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

The Contextual Loss for Image Transformation with Non-Aligned Data

Decoupled Neural Interfaces using Synthetic Gradients

Computing a Nonnegative Matrix Factorization -- Provably

Beyond Shallow-Water Photorealism: Physically and Sensor-Grounded Simulation for Deep-Sea Robotics

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss

Automated 2D and 3D Segmentation of AMD and DME Lesions in OCT

Neural Lyapunov Control

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

How Can Recommender Systems Benefit from Large Language Models: A Survey

Bridging short- and medium-range weather forecasting with machine learning

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Skew braces and the Yang-Baxter equation

Self-Supervised Representation Learning: Introduction, Advances and Challenges

Generalized Louvain Method for Community Detection in Large Networks

End-to-End Simulation of 5G mmWave Networks

JudgeStealer: Extracting LLM Judging Capabilities across Evaluation Protocols

Structure and dynamics of core-periphery networks

Preserving General Capabilities during Domain Specialization with Uncertainty-Calibrated MOPD