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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47,101 to 47,160 of 61,350

TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development
Jiarui Yan, Weiwei Sun, Sijie Li +2
cs.LGcs.AIarXiv:2608.26086v12026
Transformer Networks for Trajectory Forecasting
Francesco Giuliari, Irtiza Hasan, Marco Cristani +1
cs.CVarXiv:2003.08111v32020
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica, Marco Podda, Davide Bacciu +1
cs.LGstat.MLarXiv:1912.09893v32019
Measuring Faithfulness in Chain-of-Thought Reasoning
Tamera Lanham, Anna Chen, Ansh Radhakrishnan +27
cs.AIcs.CLcs.LGarXiv:2307.13702v12023
Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs
Hao Luo, Yiting Yang, Wenyi Zhao +10
cs.LGarXiv:2608.26069v12026
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan +1
stat.MLcs.LGarXiv:1711.03905v22017
Robust CurveMoE: Multi-Norm Adversarial Defense for Mixture-of-Experts Models via Mode Connectivity
Xu Zhang, Ren Wang
cs.LGarXiv:2608.26043v12026
Part-Aligned Bilinear Representations for Person Re-identification
Yumin Suh, Jingdong Wang, Siyu Tang +2
cs.CVarXiv:1804.07094v12018
Spectral Allocation: Why Muon Outperforms Adam, and How to Improve Muon
Xiaodong Wu, Wenyi Yu, Chao Zhang +1
cs.LGarXiv:2608.25990v12026
Functional Map of the World
Gordon Christie, Neil Fendley, James Wilson +1
cs.CVarXiv:1711.07846v32017
Forecasting Multiple Observables with SCROLL: Score-Trained Uncertainty for Stochastic Dynamics
Pavel Prochazka
cs.LGarXiv:2608.25898v12026
Learning Continuous Regional Temperature Fields with Lead-Time and Resolution Queries
Chunlei Shi, Jiong Wang, Yi-Lin Wei +4
cs.LGcs.MMarXiv:2608.25823v12026
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang, Mingkun Chen, Jonathan A. Fan
eess.IVcs.LGphysics.app-pharXiv:2007.00084v12020
CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition
Junjie Meng, Ranxu Zhang, Zi-an Zhang +6
cs.LGarXiv:2608.25871v12026
Massively Parallel Methods for Deep Reinforcement Learning
Arun Nair, Praveen Srinivasan, Sam Blackwell +11
cs.LGcs.AIcs.DCarXiv:1507.04296v22015
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Jiasen Lu, Christopher Clark, Rowan Zellers +2
cs.CVarXiv:2206.08916v22022
How Edge of Stability Hinders SCAFFOLD in Federated Optimization
Anant Khandelwal, Michael Crawshaw, Mingrui Liu
cs.LGarXiv:2608.25873v12026
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
Fabian Isensee, Philipp Kickingereder, Wolfgang Wick +2
cs.CVarXiv:1802.10508v12018
EXAONE Tabular 1.0 : Technical Report
Moonjung Eo, Min-Kook Suh, Hye-Seung Cho +4
cs.LGarXiv:2608.25774v12026
Fine-tune BERT for Extractive Summarization
Yang Liu
cs.CLarXiv:1903.10318v22019
Distribution-Aware Coordinate Representation for Human Pose Estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai +2
cs.CVarXiv:1910.06278v12019
Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao +2
quant-pharXiv:1812.08767v42018
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui, Ren Chen, Wenbo Chu +4
cs.CVcs.LGcs.ROarXiv:2004.05224v22020
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation
Yaolei Qi, Yuting He, Xiaoming Qi +2
cs.CVeess.IVarXiv:2307.08388v22023
OTA: Optimal Transport Assignment for Object Detection
Zheng Ge, Songtao Liu, Zeming Li +2
cs.CVarXiv:2103.14259v12021
Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?
Emil Björnson, Erik G. Larsson, Mérouane Debbah
cs.ITcs.NIarXiv:1412.7102v32014
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Yin Cui, Yang Song, Chen Sun +2
cs.CVcs.LGarXiv:1806.06193v12018
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Pinxin Long, Tingxiang Fan, Xinyi Liao +3
cs.ROcs.AIcs.LGarXiv:1709.10082v32017
Error estimates for solid-state density-functional theory predictions: an overview by means of the ground-state elemental crystals
Kurt Lejaeghere, Veronique Van Speybroeck, Guido Van Oost +1
cond-mat.mtrl-sciphysics.comp-phphysics.data-anarXiv:1204.2733v52012
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang +3
cs.CVcs.CLarXiv:2112.02244v22021
Tools and Benchmarks for Automated Log Parsing
Jieming Zhu, Shilin He, Jinyang Liu +4
cs.SEarXiv:1811.03509v22018
$R^3$: Training Robots to Reason in Natural Language via Reinforcement Learning
Lehong Wu, Yuxiao Qu, Zheyuan Hu +4
cs.ROcs.AIcs.CLarXiv:2608.26053v12026
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth, Jonathan Hayase, Siddhartha Srinivasa
cs.LGcs.AIarXiv:2209.04836v62022
Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty
Daniel Bienstock, Michael Chertkov, Sean Harnett
math.OCeess.SYphysics.soc-pharXiv:1209.5779v22012
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar +4
cs.CVcs.LGarXiv:1711.08393v42017
Neo: A Learned Query Optimizer
Ryan Marcus, Parimarjan Negi, Hongzi Mao +5
cs.DBarXiv:1904.03711v12019
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
Kiru Park, Timothy Patten, Markus Vincze
cs.CVarXiv:1908.07433v12019
One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick +2
cs.LGarXiv:1605.06065v12016
Deep Learning for Encrypted Traffic Classification: An Overview
Shahbaz Rezaei, Xin Liu
cs.NIarXiv:1810.07906v32018
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen +4
cs.LGcs.CVarXiv:1704.00648v22017
Large Language Models Can Be Strong Differentially Private Learners
Xuechen Li, Florian Tramèr, Percy Liang +1
cs.LGcs.CLarXiv:2110.05679v62021
Trace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World Systems
Srimonti Dutta, Akshata Kishore Moharir
cs.AIcs.CLarXiv:2608.26036v12026
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Eric Nguyen, Michael Poli, Marjan Faizi +10
cs.LGq-bio.GNarXiv:2306.15794v22023
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang, Wanqing Li, Philip Ogunbona
cs.CVarXiv:1705.05498v12017
It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning
Liam P. H. Mertens, Lucas N. Alegre, Florent Delgrange +3
cs.LGcs.AIarXiv:2608.25723v12026
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Sefi Bell-Kligler, Assaf Shocher, Michal Irani
cs.CVarXiv:1909.06581v62019
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Xuyang Bai, Zixin Luo, Lei Zhou +3
cs.CVarXiv:2003.03164v12020
Fairness-Aware Test-Time Prompt Tuning
Yoann Launay, Parameswaran Kamalaruban, Tom Kempton +2
cs.LGarXiv:2608.25707v12026
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
cs.CLcs.LGstat.MLarXiv:2105.11447v12021
LDP-Fed: Federated Learning with Local Differential Privacy
Stacey Truex, Ling Liu, Ka-Ho Chow +2
cs.LGcs.CRstat.MLarXiv:2006.03637v12020
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction
Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki
stat.MLcs.LGq-bio.BMarXiv:1712.07042v22017
Delayed Impact of Fair Machine Learning
Lydia T. Liu, Sarah Dean, Esther Rolf +2
cs.LGstat.MLarXiv:1803.04383v22018
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
Marcos Zampieri, Preslav Nakov, Sara Rosenthal +6
cs.CLarXiv:2006.07235v22020
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh +6
cs.CLcs.LGarXiv:2205.12548v32022
Deep Retinal Image Understanding
Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez +1
cs.CVarXiv:1609.01103v12016
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Liwei Wang, Yin Li, Jing Huang +1
cs.CVarXiv:1704.03470v42017
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia +4
cs.ITcs.AIcs.LGarXiv:2203.11854v22022
Adversarial Training of Linear Models under Stealthy Attacks
Lovisa Eriksson, Dave Zachariah, André M. H. Teixeira
cs.LGcs.CReess.SYarXiv:2608.25681v12026
A Framework of Robust Transmission Design for IRS-aided MISO Communications with Imperfect Cascaded Channels
Gui Zhou, Cunhua Pan, Hong Ren +2
eess.SParXiv:2001.07054v52020
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
Vishwanath A. Sindagi, Vishal M. Patel
cs.CVarXiv:1707.09605v22017

Every paper with a summary

TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development

Transformer Networks for Trajectory Forecasting

A Fair Comparison of Graph Neural Networks for Graph Classification

Measuring Faithfulness in Chain-of-Thought Reasoning

Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

Robust CurveMoE: Multi-Norm Adversarial Defense for Mixture-of-Experts Models via Mode Connectivity

Part-Aligned Bilinear Representations for Person Re-identification

Spectral Allocation: Why Muon Outperforms Adam, and How to Improve Muon

Functional Map of the World

Forecasting Multiple Observables with SCROLL: Score-Trained Uncertainty for Stochastic Dynamics

Learning Continuous Regional Temperature Fields with Lead-Time and Resolution Queries

Deep neural networks for the evaluation and design of photonic devices

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Massively Parallel Methods for Deep Reinforcement Learning

Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

How Edge of Stability Hinders SCAFFOLD in Federated Optimization

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

EXAONE Tabular 1.0 : Technical Report

Fine-tune BERT for Extractive Summarization

Distribution-Aware Coordinate Representation for Human Pose Estimation

Theory of variational quantum simulation

Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation

OTA: Optimal Transport Assignment for Object Detection

Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Error estimates for solid-state density-functional theory predictions: an overview by means of the ground-state elemental crystals

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Tools and Benchmarks for Automated Log Parsing

$R^3$: Training Robots to Reason in Natural Language via Reinforcement Learning

Git Re-Basin: Merging Models modulo Permutation Symmetries

Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty

BlockDrop: Dynamic Inference Paths in Residual Networks

Neo: A Learned Query Optimizer

Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation

One-shot Learning with Memory-Augmented Neural Networks

Deep Learning for Encrypted Traffic Classification: An Overview

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Large Language Models Can Be Strong Differentially Private Learners

Trace Integrity for LLM Data Agents: A Vision for Auditable Structured Reasoning in Real-World Systems

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning

Blind Super-Resolution Kernel Estimation using an Internal-GAN

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

Fairness-Aware Test-Time Prompt Tuning

True Few-Shot Learning with Language Models

LDP-Fed: Federated Learning with Local Differential Privacy

Development and evaluation of a deep learning model for protein-ligand binding affinity prediction

Delayed Impact of Fair Machine Learning

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Deep Retinal Image Understanding

Learning Two-Branch Neural Networks for Image-Text Matching Tasks

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Adversarial Training of Linear Models under Stealthy Attacks

A Framework of Robust Transmission Design for IRS-aided MISO Communications with Imperfect Cascaded Channels

CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting