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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49,201 to 49,260 of 61,393

Measuring Digital Labour Market Transitions with a Digital Semantic Score: An AI-Based Methodology Applied to the Dutch Labour Market
Sadegh Shahmohammadi, Xavier Pinho, Mairi Bowdler +2
cs.CLarXiv:2608.24222v12026
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
Wei Han, Hui Chen, Soujanya Poria
cs.CLcs.AIarXiv:2109.00412v22021
GPT detectors are biased against non-native English writers
Weixin Liang, Mert Yuksekgonul, Yining Mao +2
cs.CLcs.AIcs.HCarXiv:2304.02819v32023
Residual Gated Graph ConvNets
Xavier Bresson, Thomas Laurent
cs.LGstat.MLarXiv:1711.07553v22017
Quantization Effects on Bangla Language Understanding in Large Language Models: A Systematic Evaluation
Ismail Hossain, Nafi Ullah Shafin, Mohammad Abdullah Al Mumin
cs.CLarXiv:2608.24615v12026
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample, Devendra Singh Chaplot
cs.AIcs.LGarXiv:1609.05521v22016
Tensor Regression with Applications in Neuroimaging Data Analysis
Hua Zhou, Lexin Li, Hongtu Zhu
stat.MEarXiv:1203.3209v12012
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks
Marco Castelluccio, Giovanni Poggi, Carlo Sansone +1
cs.CVarXiv:1508.00092v12015
Is Discrete Difficulty Sufficient? Leveraging Continuous Difficulty for Efficient Self-Consistency in LLMs
Sihyeong Yeom, Geon Park, Geunyeong Jeong +3
cs.CLarXiv:2608.24590v12026
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang +5
cs.CVcs.CLcs.LGarXiv:2407.07895v22024
BERT for Joint Intent Classification and Slot Filling
Qian Chen, Zhu Zhuo, Wen Wang
cs.CLarXiv:1902.10909v12019
Defining and detecting quantum speedup
Troels F. Rønnow, Zhihui Wang, Joshua Job +6
quant-pharXiv:1401.2910v12014
WISeREP - An Interactive Supernova Data Repository
Ofer Yaron, Avishay Gal-Yam
astro-ph.IMastro-ph.COastro-ph.HEarXiv:1204.1891v22012
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
stat.MLcs.LGarXiv:1905.11001v52019
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux
cs.LGcs.AIstat.MEarXiv:2207.08815v12022
AgentWorld: Personality-Aware Reliability Evaluation for Agentic Information Retrieval
Gunja Agarwal, Arup Kumar Das, Arun Menon +2
cs.AIarXiv:2608.24076v12026
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki +5
cs.LGstat.MLarXiv:1707.04175v12017
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort, Alex Andonian, Bolei Zhou +8
cs.CVcs.AIarXiv:1801.03150v32018
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
Jiefeng Li, Can Wang, Hao Zhu +3
cs.CVarXiv:1812.00324v22018
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo, Wei Jiang, Youzhi Gu +4
cs.CVarXiv:1906.08332v22019
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz +1
cs.NEcs.AIcs.LGarXiv:1603.06212v12016
Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement
Arthur Corrêa, Paulo Nascimento, Samuel Moniz
cs.LGarXiv:2608.24859v12026
Where Entropy Is Measured Matters: Policy Geometry in Bounded Continuous-Control PPO
Yiyang He, Zhichun Zhou, Ziwei Wang +2
cs.LGarXiv:2608.24488v12026
Understanding Neural Networks through Representation Erasure
Jiwei Li, Will Monroe, Dan Jurafsky
cs.CLarXiv:1612.08220v32016
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
cs.LGcs.CVstat.MLarXiv:1812.05720v22018
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Jay Shah, Ganesh Bikshandi, Ying Zhang +3
cs.LGcs.AIarXiv:2407.08608v22024
IntelliCode Compose: Code Generation Using Transformer
Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu +1
cs.CLcs.SEarXiv:2005.08025v22020
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi +5
cs.DCcs.LGarXiv:2101.06840v12021
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis
Jiatao Gu, Lingjie Liu, Peng Wang +1
cs.CVstat.MLarXiv:2110.08985v12021
Markerless Pose Estimation for Resistance Training Technique Assessment
Joseph Turner, Jeff Clark, Nawid Keshtmand
cs.CVcs.AIarXiv:2608.24384v12026
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
Muhao Chen, Yingtao Tian, Mohan Yang +1
cs.AIcs.CLarXiv:1611.03954v32016
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities
Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee +6
cs.ITcs.NIarXiv:2012.07753v22020
Survey of Nearest Neighbor Techniques
Nitin Bhatia, Vandana
cs.CVarXiv:1007.0085v12010
WebMCP-Phalanx: Enforcing and Characterizing Trust Boundaries for Browser-Integrated LLM Agents
Lin-Fa Lee, YI-YU Chang, Kuo-Hui Yeh
cs.CRcs.AIarXiv:2608.24017v12026
AHEAD: Adaptive Hindsight with Environment-Augmented Distillation for Agentic RL
Xiaolong Jin, Dingmin Wang, Vijay Lingam +1
cs.AIarXiv:2608.24114v12026
Beyond Data and Model Parallelism for Deep Neural Networks
Zhihao Jia, Matei Zaharia, Alex Aiken
cs.DCarXiv:1807.05358v12018
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu +3
cs.IRarXiv:2012.06852v52020
Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning
Zhen Bi, Xueshu Chen, Yan Wang +6
cs.AIcs.CLcs.LGarXiv:2608.23982v12026
Empirical Bernstein Bounds and Sample Variance Penalization
Andreas Maurer, Massimiliano Pontil
stat.MLarXiv:0907.3740v12009
Simplicial Closure and higher-order link prediction
Austin R. Benson, Rediet Abebe, Michael T. Schaub +2
cs.SIcond-mat.stat-mechmath.ATarXiv:1802.06916v22018
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
cs.LGcs.MAeess.SParXiv:2005.00935v12020
Graph Isomorphism in Quasipolynomial Time
László Babai
cs.DScs.CCmath.COarXiv:1512.03547v22015
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang +5
cs.CVarXiv:1810.11809v32018
Two-Stream Neural Networks for Tampered Face Detection
Peng Zhou, Xintong Han, Vlad I. Morariu +1
cs.CVarXiv:1803.11276v12018
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang, Nan Duan +6
cs.CLcs.LGarXiv:2002.01808v52020
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Wenyu Liu, Gaofeng Ren, Runsheng Yu +3
cs.CVarXiv:2112.08088v32021
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
Hongkai Zhang, Hong Chang, Bingpeng Ma +2
cs.CVarXiv:2004.06002v22020
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
Hedi Ben-younes, Rémi Cadene, Matthieu Cord +1
cs.CVarXiv:1705.06676v12017
Optimal Power Allocation for Fading Channels in Cognitive Radio Networks: Ergodic Capacity and Outage Capacity
Xin Kang, Ying-Chang Liang, Arumugam Nallanathan +2
cs.ITarXiv:0808.3689v22008
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen, Diego Marti Monso, Yilun Du +3
cs.LGcs.CVcs.ROarXiv:2407.01392v42024
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk +4
cs.ROcs.LGarXiv:1810.05687v42018
MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer +1
cs.CLcs.AIarXiv:2110.15943v22021
Human Semantic Parsing for Person Re-identification
Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gokmen +2
cs.CVarXiv:1804.00216v12018
A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems
Sahil Manikshete, Atharva Gujarathi, Thanh Long Vu +2
eess.SYcs.LGarXiv:2608.23726v12026
Generative Image Modeling using Style and Structure Adversarial Networks
Xiaolong Wang, Abhinav Gupta
cs.CVarXiv:1603.05631v22016
TractSeg - Fast and accurate white matter tract segmentation
Jakob Wasserthal, Peter Neher, Klaus H. Maier-Hein
cs.CVeess.IVarXiv:1805.07103v22018
Benchmarking Large Language Models in Retrieval-Augmented Generation
Jiawei Chen, Hongyu Lin, Xianpei Han +1
cs.CLarXiv:2309.01431v22023
Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2
cs.CVcs.AIcs.LGarXiv:2004.05155v12020
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao, Mu Zhou, Dimitris Metaxas
cs.CVarXiv:2107.00781v22021
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein +38
eess.IVcs.CVcs.LGarXiv:1912.01054v22019

Every paper with a summary

Measuring Digital Labour Market Transitions with a Digital Semantic Score: An AI-Based Methodology Applied to the Dutch Labour Market

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

GPT detectors are biased against non-native English writers

Residual Gated Graph ConvNets

Quantization Effects on Bangla Language Understanding in Large Language Models: A Systematic Evaluation

Playing FPS Games with Deep Reinforcement Learning

Tensor Regression with Applications in Neuroimaging Data Analysis

Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

Is Discrete Difficulty Sufficient? Leveraging Continuous Difficulty for Efficient Self-Consistency in LLMs

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

BERT for Joint Intent Classification and Slot Filling

Defining and detecting quantum speedup

WISeREP - An Interactive Supernova Data Repository

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

Why do tree-based models still outperform deep learning on tabular data?

AgentWorld: Personality-Aware Reliability Evaluation for Agentic Information Retrieval

Distral: Robust Multitask Reinforcement Learning

Moments in Time Dataset: one million videos for event understanding

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement

Where Entropy Is Measured Matters: Policy Geometry in Bounded Continuous-Control PPO

Understanding Neural Networks through Representation Erasure

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

IntelliCode Compose: Code Generation Using Transformer

ZeRO-Offload: Democratizing Billion-Scale Model Training

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Markerless Pose Estimation for Resistance Training Technique Assessment

Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

Survey of Nearest Neighbor Techniques

WebMCP-Phalanx: Enforcing and Characterizing Trust Boundaries for Browser-Integrated LLM Agents

AHEAD: Adaptive Hindsight with Environment-Augmented Distillation for Agentic RL

Beyond Data and Model Parallelism for Deep Neural Networks

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning

Empirical Bernstein Bounds and Sample Variance Penalization

Simplicial Closure and higher-order link prediction

Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey

Graph Isomorphism in Quasipolynomial Time

Discrimination-aware Channel Pruning for Deep Neural Networks

Two-Stream Neural Networks for Tampered Face Detection

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Optimal Power Allocation for Fading Channels in Cognitive Radio Networks: Ergodic Capacity and Outage Capacity

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

MetaICL: Learning to Learn In Context

Human Semantic Parsing for Person Re-identification

A Hybrid Two-Stage Machine Learning Pipeline for Fault Detection and Classification in Power Transmission Systems

Generative Image Modeling using Style and Structure Adversarial Networks

TractSeg - Fast and accurate white matter tract segmentation

Benchmarking Large Language Models in Retrieval-Augmented Generation

Learning to Explore using Active Neural SLAM

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge