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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48,961 to 49,020 of 61,378

Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships
Yeyson A. Becerra-Mora, José Ángel Acosta
eess.SYcs.ROarXiv:2608.23924v12026
Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity,User Data-Rate and Movement Speed
Shanzhi Chen, Ying-Chang Liang, Shaohui Sun +3
cs.ITeess.SParXiv:2002.04929v12020
Simulation optimization: A review of algorithms and applications
Satyajith Amaran, Nikolaos V. Sahinidis, Bikram Sharda +1
cs.DSmath.OCarXiv:1706.08591v12017
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau +1
cs.CLcs.LGarXiv:2011.01403v32020
Ising machines as hardware solvers of combinatorial optimization problems
Naeimeh Mohseni, Peter L. McMahon, Tim Byrnes
quant-phphysics.app-pharXiv:2204.00276v12022
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce, Matthias Hein
cs.LGcs.CRcs.CVarXiv:1907.02044v22019
From Relaxed Indexability to Exact Indexability: A $t$-Step Approach for Partially Observable Restless Bandits
Qizhen Jia, Keqin Liu
cs.LGmath.OCarXiv:2608.24167v12026
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
Zhengbao Jiang, Jun Araki, Haibo Ding +1
cs.CLarXiv:2012.00955v22020
DISK: Learning local features with policy gradient
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
cs.CVcs.LGarXiv:2006.13566v22020
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximilian Nickel, Douwe Kiela
cs.AIcs.LGstat.MLarXiv:1806.03417v22018
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
Pengfei Zhang, Cuiling Lan, Junliang Xing +3
cs.CVarXiv:1703.08274v22017
CoDrift: Compositional Drifting for Offline Reinforcement Learning
Xiewei Ni, Ruofeng Mei, Xiangyu Xu
cs.LGcs.ROarXiv:2608.23939v12026
NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation
Yumeng He, Yichen Song, Xiaotian Yang +5
cs.CVarXiv:2608.24212v12026
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan, Tao Xu, Raul Puri +22
cs.CLcs.LGarXiv:2201.10005v12022
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao +2
cs.CLcs.AIarXiv:2305.10250v32023
Sparse Additive Models
Pradeep Ravikumar, John Lafferty, Han Liu +1
math.STarXiv:0711.4555v22007
Context-aware Computing in the Internet of Things: A Survey on Internet of Things From Industrial Market Perspective
Charith Perera, Chi Harold Liu Member, Srimal Jayawardena +1
cs.CYcs.NIarXiv:1502.00164v12015
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
Kunchang Li, Yali Wang, Junhao Zhang +5
cs.CVarXiv:2201.09450v32022
TransPhy: Visual In-Context Learning for Physically Grounded Image Editing
Siyi Xie, Xuanke Shi, Jinsheng Quan +4
cs.CVcs.AIarXiv:2608.24119v12026
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay, Yair Weiss
cs.CVarXiv:1805.12177v42018
A review on longitudinal data analysis with random forest in precision medicine
Jianchang Hu, Silke Szymczak
stat.MLcs.LGarXiv:2208.04112v12022
SA-Bench: Evaluating Semantic Alignment in LLM-Based Paper Reproduction
Xue Hu, Zewei Pan, Zeli Su +2
cs.AIcs.SEarXiv:2608.24252v12026
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao, Leman Akoglu
cs.LGstat.MLarXiv:1909.12223v22019
Quantum Annealing and Analog Quantum Computation
Arnab Das, Bikas K. Chakrabarti
quant-phcond-mat.stat-mechphysics.comp-pharXiv:0801.2193v32008
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess, Loic Matthey, Nicholas Watters +4
cs.CVcs.LGstat.MLarXiv:1901.11390v12019
ExMesh++: From Multi-View Images to Relightable UV-PBR Mesh Assets via Topology-Adaptive Reconstruction and Decomposition
Chuanjin Fan, Lifan Wu, Wenjie Chang +3
cs.GRcs.CVarXiv:2608.24109v12026
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakır, Giambattista Parascandolo, Toni Heittola +2
cs.LGcs.SDarXiv:1702.06286v12017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang, Naiyan Wang
cs.CVcs.LGcs.NEarXiv:1707.01213v32017
ViSculpt: Visual-Centric Agentic Geometry Editing
Bo Pang, Jiaqi Pan, Xiaocheng Zhang +3
cs.CVcs.GRcs.HCarXiv:2608.24169v12026
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis, Barlas Oğuz, Ruty Rinott +2
cs.CLcs.AIcs.LGarXiv:1910.07475v32019
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou, Su Ruan, Stéphane Canu
eess.IVcs.CVcs.LGarXiv:2004.10664v22020
MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions
Wingho Feng, Quanwang Li, Ming Zhong +2
cs.CEcs.LGarXiv:2608.24531v12026
Index Modulation Techniques for 5G Wireless Networks
Ertugrul Basar
cs.ITarXiv:1604.08315v12016
Continuous variable quantum information: Gaussian states and beyond
Gerardo Adesso, Sammy Ragy, Antony R. Lee
quant-phcond-mat.stat-mechmath-pharXiv:1401.4679v32014
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao
cs.NEarXiv:1704.00764v22017
PinSieve: Production Selective VLM Serving and a Governed Memory Flywheel for Enterprise Content-Quality Triage
Chuqing Gao, Yuanfang Song, Jonathan Zhang +4
cs.LGarXiv:2608.24040v12026
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Conglong Li, Zhewei Yao +5
cs.LGcs.AIcs.DCarXiv:2201.05596v22022
SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
Shidong Yang, Ziyu Ma, Tongwen Huang +5
cs.CLarXiv:2608.24747v12026
Arbitrary Polygon Oscillator: Generalizing Polygonal Synthesis to Arbitrary Shapes, Morphing, and Three-Dimensional Polyhedra
Antonio Argentieri, Francesco Scagliola
cs.CLarXiv:2608.24726v12026
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu, Xingjun Ma, James Bailey +1
cs.CVarXiv:2007.02343v22020
One Timeline, Many Renderings: A Wolfram Language Paclet for heterogeneous musical output
Francesco Vitucci, Michele Lorusso, Francesco Scagliola
cs.CLarXiv:2608.24683v12026
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou +2
cs.CVarXiv:1802.07934v22018
Jellyfish: Networking Data Centers Randomly
Ankit Singla, Chi-Yao Hong, Lucian Popa +1
cs.NIarXiv:1110.1687v32011
From local kernels to global form: modeling the emergence of musical content
Francesco Vitucci, Michele Lorusso, Francesco Scagliola
cs.CLarXiv:2608.24660v12026
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa +1
cs.CVcs.LGarXiv:2111.15640v32021
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin, Michaël Gharbi, Taesung Park +4
cs.CVarXiv:2405.14867v22024
Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core
Yogesh Kumar
cs.AIarXiv:2608.24810v12026
Partial Identification under Causal Orders by Linear Programming
Eric Rossetto, Alessandro Antonucci
cs.AIarXiv:2608.24427v12026
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.ROarXiv:1003.5956v22010
Paritok-4B: Intent-Conditioned Context Compression for Coding Agents
Jiayu Shi, Luzhuo Chen
cs.AIcs.CLcs.LGarXiv:2608.24188v12026
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin, Arun Mallya, Arash Vahdat +3
cs.LGcs.CVarXiv:2104.07586v12021
EMRB: A Multi-Level Benchmark for Evaluating LLM Reasoning over Raw Electromagnetic Signals
Mingxu Zhang, Ying Sun, Yuhan Li +4
cs.AIcs.CEcs.SEarXiv:2608.24086v12026
Detecting Deepfakes with Self-Blended Images
Kaede Shiohara, Toshihiko Yamasaki
cs.CVarXiv:2204.08376v12022
Deep Learning in Medical Image Registration: A Review
Yabo Fu, Yang Lei, Tonghe Wang +3
eess.IVcs.CVcs.LGarXiv:1912.12318v12019
Diverse by Reasoning: Harnessing the Wisdom of LLM Crowds for Future Prediction
Nirupam Chetlapalli, Yiming Liao, Min-Chun Chen +1
cs.AIarXiv:2608.24001v12026
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd, Emma C Robinson, Bernhard Kainz
cs.LGcs.CVcs.HCarXiv:1910.02923v22019
Gaussian Process Behaviour in Wide Deep Neural Networks
Alexander G. de G. Matthews, Mark Rowland, Jiri Hron +2
stat.MLcs.LGarXiv:1804.11271v22018
Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
M. Karsai, M. Kivelä, R. K. Pan +4
physics.soc-phcs.SInlin.AOarXiv:1006.2125v32010
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
cs.CRcs.LGarXiv:1707.08945v52017
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson, Christopher D. Manning
cs.AIarXiv:1803.03067v22018

Every paper with a summary

Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships

Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity,User Data-Rate and Movement Speed

Simulation optimization: A review of algorithms and applications

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Ising machines as hardware solvers of combinatorial optimization problems

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

From Relaxed Indexability to Exact Indexability: A $t$-Step Approach for Partially Observable Restless Bandits

How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering

DISK: Learning local features with policy gradient

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

CoDrift: Compositional Drifting for Offline Reinforcement Learning

NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation

Text and Code Embeddings by Contrastive Pre-Training

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Sparse Additive Models

Context-aware Computing in the Internet of Things: A Survey on Internet of Things From Industrial Market Perspective

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

TransPhy: Visual In-Context Learning for Physically Grounded Image Editing

Why do deep convolutional networks generalize so poorly to small image transformations?

A review on longitudinal data analysis with random forest in precision medicine

SA-Bench: Evaluating Semantic Alignment in LLM-Based Paper Reproduction

PairNorm: Tackling Oversmoothing in GNNs

Quantum Annealing and Analog Quantum Computation

MONet: Unsupervised Scene Decomposition and Representation

ExMesh++: From Multi-View Images to Relightable UV-PBR Mesh Assets via Topology-Adaptive Reconstruction and Decomposition

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

Data-Driven Sparse Structure Selection for Deep Neural Networks

ViSculpt: Visual-Centric Agentic Geometry Editing

MLQA: Evaluating Cross-lingual Extractive Question Answering

A review: Deep learning for medical image segmentation using multi-modality fusion

MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions

Index Modulation Techniques for 5G Wireless Networks

Continuous variable quantum information: Gaussian states and beyond

A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

PinSieve: Production Selective VLM Serving and a Governed Memory Flywheel for Enterprise Content-Quality Triage

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents

Arbitrary Polygon Oscillator: Generalizing Polygonal Synthesis to Arbitrary Shapes, Morphing, and Three-Dimensional Polyhedra

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

One Timeline, Many Renderings: A Wolfram Language Paclet for heterogeneous musical output

Adversarial Learning for Semi-Supervised Semantic Segmentation

Jellyfish: Networking Data Centers Randomly

From local kernels to global form: modeling the emergence of musical content

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Improved Distribution Matching Distillation for Fast Image Synthesis

Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core

Partial Identification under Causal Orders by Linear Programming

Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms

Paritok-4B: Intent-Conditioned Context Compression for Coding Agents

See through Gradients: Image Batch Recovery via GradInversion

EMRB: A Multi-Level Benchmark for Evaluating LLM Reasoning over Raw Electromagnetic Signals

Detecting Deepfakes with Self-Blended Images

Deep Learning in Medical Image Registration: A Review

Diverse by Reasoning: Harnessing the Wisdom of LLM Crowds for Future Prediction

A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

Gaussian Process Behaviour in Wide Deep Neural Networks

Small But Slow World: How Network Topology and Burstiness Slow Down Spreading

Robust Physical-World Attacks on Deep Learning Models

Compositional Attention Networks for Machine Reasoning