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)

44,161 to 44,220 of 61,306

LLMs in Digital EDA: A perspective on shifting roles from Generation to Orchestration
Matthew Youngman, Cristian Sestito, Themis Prodromakis
cs.ARcs.AIcs.SEarXiv:2608.27184v12026
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel +1
cs.LGcs.CVcs.NEarXiv:1702.07811v22017
Mean Birds: Detecting Aggression and Bullying on Twitter
Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn +3
cs.CYcs.SIarXiv:1702.06877v32017
Hierarchical Block Structures and High-resolution Model Selection in Large Networks
Tiago P. Peixoto
physics.data-ancond-mat.dis-nncond-mat.stat-mecharXiv:1310.4377v62013
ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
M. Middleton, H. Kayan, B. Sen Bhattacharya +7
cs.NEcs.AIcs.CVarXiv:2608.27150v12026
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort, Jie Ren, Balaji Lakshminarayanan
cs.LGarXiv:2106.03004v32021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Phillip Rust, Jonas Pfeiffer, Ivan Vulić +2
cs.CLarXiv:2012.15613v22020
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Benedek Rozemberczki, Rik Sarkar
cs.LGcs.DMcs.SIarXiv:2005.07959v22020
Summaries:한국어
Ultra Low-Power, Lightweight, Probabilistic RSS-Based Path Reconstruction: A System for Landscape-Scale Bee Tracking
Christopher J. Noroozi, Joseph L. Woodgate, Michael Mangan +1
cs.LGarXiv:2608.27152v12026
CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
Kechen Liu, Ola Shorinwa
cs.ROcs.AIcs.CVarXiv:2608.27406v12026
Optimal execution strategies in limit order books with general shape functions
Aurélien Alfonsi, Antje Fruth, Alexander Schied
q-fin.TRmath.PRarXiv:0708.1756v32007
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan +1
cs.CVarXiv:2106.15125v22021
Parallel Multi-Block ADMM with o(1/k) Convergence
Wei Deng, Ming-Jun Lai, Zhimin Peng +1
math.OCarXiv:1312.3040v22013
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Rafael Figueiredo Prudencio, Marcos R. O. A. Maximo, Esther Luna Colombini
cs.LGcs.AIstat.MLarXiv:2203.01387v32022
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen, Nicolas Thome
cs.CVarXiv:2003.01460v22020
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation
Guillermo Gallego, Henri Rebecq, Davide Scaramuzza
cs.CVcs.ROarXiv:1804.01306v12018
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah +5
cs.LGstat.MLarXiv:2007.07682v22020
Importance Scoring of Transformer Attention Heads in Learning Tabular Data
Ahmad Jad Allah, Kazi F. Akhter, Md. Kamrozzaman Bhuiyan +1
cs.LGarXiv:2608.27241v12026
Summaries:한국어
Neural Ranking Models with Weak Supervision
Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn +2
cs.IRcs.CLcs.LGarXiv:1704.08803v22017
PotentialNet for Molecular Property Prediction
Evan N. Feinberg, Debnil Sur, Zhenqin Wu +7
cs.LGarXiv:1803.04465v22018
Response to 'Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems'
T. W. Brown, T. Bischof-Niemz, K. Blok +3
physics.soc-pharXiv:1709.05716v32017
Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback
Bassam Bamieh, Mihailo R. Jovanović, Partha Mitra +1
math.OCcs.MAeess.SYarXiv:1112.4011v12011
SpatialCrafter: Single Image World Modeling with Generative 3D Proxies
Chuan Fang, Lingteng Qiu, Yixun Liang +8
cs.CVcs.ROarXiv:2608.27073v12026
Summaries:한국어
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Tong Wu, Jiarui Zhang, Xiao Fu +9
cs.CVarXiv:2301.07525v22023
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H. Macke +1
cs.LGstat.MLarXiv:1905.12784v22019
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
cs.CVcs.AIcs.LGarXiv:1812.03596v32018
Angular Synchronization by Eigenvectors and Semidefinite Programming
Amit Singer
math.SParXiv:0905.3174v22009
Machine Learning for Survival Analysis: A Survey
Ping Wang, Yan Li, Chandan K. Reddy
cs.LGstat.MLarXiv:1708.04649v12017
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang, Tackgeun You, Seonguk Seo +2
cs.LGcs.AIstat.MLarXiv:1906.03950v12019
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu +15
cs.DCarXiv:1911.01941v12019
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
Siyuan Li, Li Sun, Qingli Li
cs.CVarXiv:2211.13977v42022
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha +1
cs.CVarXiv:1903.06150v22019
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jerome Revaud, Jon Almazan, Rafael Sampaio de Rezende +1
cs.CVarXiv:1906.07589v12019
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu, Zongyuan Ge, Donghao Zhang +4
cs.CVcs.AIarXiv:2109.09960v42021
Linear Independence of Polynomial Compositions and Identifiability of Deep Neural Networks
Kathlén Kohn, Giovanni Luca Marchetti, Alex Massarenti +1
math.ACcs.LGmath.AGarXiv:2608.27113v12026
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband, John Aslanides, Albin Cassirer
stat.MLcs.AIcs.LGarXiv:1806.03335v22018
LightRAG: Simple and Fast Retrieval-Augmented Generation
Zirui Guo, Lianghao Xia, Yanhua Yu +2
cs.IRcs.AIarXiv:2410.05779v32024
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
Xingshan Zeng, Zishan Xu, Boju Zhang +11
cs.AIcs.CLarXiv:2608.27260v12026
Summaries:한국어
Geometrically Constrained Trajectory Optimization for Multicopters
Zhepei Wang, Xin Zhou, Chao Xu +1
cs.ROarXiv:2103.00190v42021
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams, Paul Drews, Brian Goldfain +2
cs.ROarXiv:1707.02342v12017
Similarity Reasoning and Filtration for Image-Text Matching
Haiwen Diao, Ying Zhang, Lin Ma +1
cs.CVcs.MMarXiv:2101.01368v12021
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang +2
cs.CLcs.LGarXiv:1606.01549v32016
Sentence Simplification with Deep Reinforcement Learning
Xingxing Zhang, Mirella Lapata
cs.CLcs.LGarXiv:1703.10931v22017
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
Peize Sun, Jinkun Cao, Yi Jiang +4
cs.CVarXiv:2111.14690v32021
Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media
Yunzhe Li, Yujia Xue, Lei Tian
eess.IVphysics.opticsarXiv:1806.04139v22018
Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance
Shuhei Watanabe
cs.LGcs.AIarXiv:2304.11127v52023
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey +3
cs.LGcs.GRphysics.comp-pharXiv:1806.02071v22018
A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues
Jothi Prasanna Shanmuga Sundaram, Wan Du, Zhiwei Zhao
eess.SPeess.SYarXiv:1908.10195v12019
Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots
Sukhpal Singh Gill, Minxian Xu, Panos Patros +18
cs.CYcs.AIcs.CLarXiv:2306.03823v12023
Neighborhood Watch: Privacy Risks in Seeded Local Combination Synthetic Data
Hadrien Lautraite, Tristan Allard, Anne-Sophie Charest +2
cs.CRarXiv:2608.27037v12026
P-wave arrival picking and first-motion polarity determination with deep learning
Zachary E. Ross, Men-Andrin Meier, Egill Hauksson
physics.geo-pharXiv:1804.08804v12018
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski, Philip Yeres, Anna Choromanska +4
cs.CVcs.LGcs.NEarXiv:1704.07911v12017
Communications and Signals Design for Wireless Power Transmission
Yong Zeng, Bruno Clerckx, Rui Zhang
cs.ITarXiv:1611.06822v12016
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu, Abeba Birhane
cs.CYstat.APstat.MLarXiv:2006.16923v22020
Terrain signatures in Welsh settlement names
Oktay Karakuş, Can Eyupoglu
cs.LGcs.CLarXiv:2608.26978v12026
LibriMix: An Open-Source Dataset for Generalizable Speech Separation
Joris Cosentino, Manuel Pariente, Samuele Cornell +2
eess.ASarXiv:2005.11262v12020
Personalized Federated Learning with First Order Model Optimization
Michael Zhang, Karan Sapra, Sanja Fidler +2
cs.LGcs.DCstat.MLarXiv:2012.08565v42020
Unveiling the Power of Deep Tracking
Goutam Bhat, Joakim Johnander, Martin Danelljan +2
cs.CVarXiv:1804.06833v12018
Scalable Gradients for Stochastic Differential Equations
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen +1
cs.LGmath.NAstat.MLarXiv:2001.01328v62020
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Ruijia Xu, Ziliang Chen, Wangmeng Zuo +2
cs.LGcs.CVarXiv:1803.00830v12018

Every paper with a summary

LLMs in Digital EDA: A perspective on shifting roles from Generation to Orchestration

Adaptive Neural Networks for Efficient Inference

Mean Birds: Detecting Aggression and Bullying on Twitter

Hierarchical Block Structures and High-resolution Model Selection in Large Networks

ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification

Exploring the Limits of Out-of-Distribution Detection

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models

Ultra Low-Power, Lightweight, Probabilistic RSS-Based Path Reconstruction: A System for Landscape-Scale Bee Tracking

CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators

Optimal execution strategies in limit order books with general shape functions

Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition

Parallel Multi-Block ADMM with o(1/k) Convergence

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation

FetchSGD: Communication-Efficient Federated Learning with Sketching

Importance Scoring of Transformer Attention Heads in Learning Tabular Data

Neural Ranking Models with Weak Supervision

PotentialNet for Molecular Property Prediction

Response to 'Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems'

Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback

SpatialCrafter: Single Image World Modeling with Generative 3D Proxies

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

Intrinsic dimension of data representations in deep neural networks

Task-Free Continual Learning

Angular Synchronization by Eigenvectors and Semidefinite Programming

Machine Learning for Survival Analysis: A Survey

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels

Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition

Learning with Average Precision: Training Image Retrieval with a Listwise Loss

Mutual Consistency Learning for Semi-supervised Medical Image Segmentation

Linear Independence of Polynomial Compositions and Identifiability of Deep Neural Networks

Randomized Prior Functions for Deep Reinforcement Learning

LightRAG: Simple and Fast Retrieval-Augmented Generation

What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents

Geometrically Constrained Trajectory Optimization for Multicopters

Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

Similarity Reasoning and Filtration for Image-Text Matching

Gated-Attention Readers for Text Comprehension

Sentence Simplification with Deep Reinforcement Learning

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

Deep speckle correlation: a deep learning approach towards scalable imaging through scattering media

Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots

Neighborhood Watch: Privacy Risks in Seeded Local Combination Synthetic Data

P-wave arrival picking and first-motion polarity determination with deep learning

Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car

Communications and Signals Design for Wireless Power Transmission

Large image datasets: A pyrrhic win for computer vision?

Terrain signatures in Welsh settlement names

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Personalized Federated Learning with First Order Model Optimization

Unveiling the Power of Deep Tracking

Scalable Gradients for Stochastic Differential Equations

Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift