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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9,601 to 9,660 of 61,257

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou, Xiao Huang, Daochen Zha +4
cs.LGarXiv:2107.02392v12021
On the Pragmatic Design of Literature Studies in Software Engineering: An Experience-based Guideline
M. Kuhrmann, D. Méndez Fernández, M. Daneva
cs.SEarXiv:1612.03583v12016
VST: Verifiable Structured Transport for Auditable Agent-to-Agent Alpha Discovery
Yuqi Li, Siyuan Liu, Bingjun Liu
cs.AIarXiv:2609.07065v12026
Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench
Jonathan W. Morris, Ionut Mistreanu, Connor Louie
cs.PFcs.DCcs.LGarXiv:2609.05418v12026
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Quentin Garrido, Randall Balestriero, Laurent Najman +1
cs.LGcs.AIcs.CVarXiv:2210.02885v32022
Adaptive approximate Bayesian computation for complex models
Maxime Lenormand, Franck Jabot, Guillaume Deffuant
math.STstat.COarXiv:1111.1308v42011
Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes
Francesco C. Stingo, Yian A. Chen, Mahlet G. Tadesse +1
stat.AParXiv:1111.5419v12011
A Study of Face Obfuscation in ImageNet
Kaiyu Yang, Jacqueline Yau, Li Fei-Fei +2
cs.CVarXiv:2103.06191v32021
Dynamic effective connectivity of inter-areal brain circuits
Demian Battaglia, Annette Witt, Fred Wolf +1
q-bio.NCcond-mat.dis-nnarXiv:1112.3968v12011
Lenient Multi-Agent Deep Reinforcement Learning
Gregory Palmer, Karl Tuyls, Daan Bloembergen +1
cs.MAcs.AIcs.LGarXiv:1707.04402v22017
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li, Chenghao Hu, Jingyan Jiang +3
cs.DCarXiv:1812.10027v12018
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan +4
cs.LGstat.MLarXiv:1811.05443v12018
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
Peng Wang, Shijie Wang, Junyang Lin +5
cs.CVcs.CLcs.SDarXiv:2305.11172v12023
RedKnot-MLA: Multi-Head Offline-Online Reuse for DeepSeek-V4 Long-Context Serving
Yang Liu, Zhaokai Luo, Huayi Jin +10
cs.AIarXiv:2609.07008v12026
What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation
Miqing Li, Xin Yao
cs.NEarXiv:1709.02679v12017
A Long Way to the Top: Significance, Structure, and Stability of Internet Top Lists
Quirin Scheitle, Oliver Hohlfeld, Julien Gamba +4
cs.NIarXiv:1805.11506v22018
Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop Retrieval
JungMin Yun, YoungBin Kim
cs.AIcs.IRarXiv:2609.07050v12026
Active Federated Learning
Jack Goetz, Kshitiz Malik, Duc Bui +3
cs.LGstat.MLarXiv:1909.12641v12019
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo +2
cs.LGcs.AIstat.MLarXiv:2006.03647v22020
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
Long Sun, Jinshan Pan, Jinhui Tang
cs.CVarXiv:2205.15175v12022
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Di Wang, Jing Zhang, Minqiang Xu +8
cs.CVarXiv:2403.13430v22024
When and Why LLM Causal Priors Help: Closed-Loop Prior Selection for Amortized Causal Inference
Haohao Zhou
cs.AIarXiv:2609.06941v12026
Counterfactual Story Reasoning and Generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman +3
cs.CLcs.AIarXiv:1909.04076v22019
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo, Chuan Shi, Lele Wang +1
cs.LGcs.AIcs.SIarXiv:2303.01028v12023
SemKV: Semantic Mixed-Precision KV Cache Quantization Guided by the Quality Cliff for Long-Context LLM Inference
Daeha Lee, Do-Hyung Kim, Jae-Hong Kim
cs.LGcs.CLcs.ITarXiv:2608.28911v12026
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption
Simon Oya, Florian Kerschbaum
cs.CRarXiv:2010.03465v12020
Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization
Bing Zheng, Zongyao Zhao, Wenming Yang
cs.IRcs.CLcs.CRarXiv:2609.02316v12026
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou, Pan Xu, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1806.07811v22018
Global Uniqueness and Solvability for Tensor Complementarity Problems
Xue-Li Bai, Zheng-Hai Huang, Yong Wang
math.OCarXiv:1508.06012v12015
Formation of structural attractors in neuromorphic systems
Yurii Parzhyn, Alexander Schwarzmann, Mykyta Lapin +1
cs.AIcs.LGcs.NEarXiv:2609.06826v12026
PonderNet: Learning to Ponder
Andrea Banino, Jan Balaguer, Charles Blundell
cs.LGcs.AIcs.CCarXiv:2107.05407v22021
Optimizing User Association and Spectrum Allocation in HetNets: A Utility Perspective
Yicheng Lin, Wei Bao, Wei Yu +1
cs.NIcs.ITarXiv:1412.5731v12014
MatterGen: a generative model for inorganic materials design
Claudio Zeni, Robert Pinsler, Daniel Zügner +18
cond-mat.mtrl-scics.AIarXiv:2312.03687v22023
A visual large language foundational model for medical image recognition using clinician-oriented social media
Lingxuan Hou, Yuhua Xie, Yue Hu +14
cs.AIarXiv:2609.06914v12026
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang, Shengjie Luo, Liwei Wang +1
cs.LGstat.MLarXiv:2301.09505v32023
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
Yuxuan Zhang, Yiren Song, Jiaming Liu +8
cs.CVarXiv:2312.16272v22023
Stagewise Safe Bayesian Optimization with Gaussian Processes
Yanan Sui, Vincent Zhuang, Joel W. Burdick +1
cs.LGstat.MLarXiv:1806.07555v22018
Interference Alignment as a Rank Constrained Rank Minimization
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
cs.ITcs.DCcs.NIarXiv:1010.0476v32010
Speaker Anonymization Using X-vector and Neural Waveform Models
Fuming Fang, Xin Wang, Junichi Yamagishi +4
eess.AScs.CLcs.LGarXiv:1905.13561v12019
Old Optimizer, New Norm: An Anthology
Jeremy Bernstein, Laker Newhouse
cs.LGmath.OCarXiv:2409.20325v22024
Learning to Continually Learn
Shawn Beaulieu, Lapo Frati, Thomas Miconi +4
cs.LGcs.CVcs.NEarXiv:2002.09571v22020
Not all generalisation failures can be bought back: four boundaries in affective audio modelling
Jingyi Zhang, Xiaotong Yao
eess.ASarXiv:2608.27674v12026
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen, Myle Ott, Michael Auli +1
cs.CLcs.LGarXiv:1902.07816v22019
Simulating the Marginal Green Contribution of AI Modules in a Smart-Agriculture Platform: Evidence from Two Monte Carlo Experiments
Zhaoyang Li, Ruijie Zhang, Zhaoji Sun +1
cs.AImath.NAarXiv:2609.06740v12026
OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining
Yuran Wang, Siqiao Huang, Mingleyang Li +21
cs.ROarXiv:2609.07398v12026
A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos
cs.CVarXiv:1904.07312v12019
One-Step Image Translation with Text-to-Image Models
Gaurav Parmar, Taesung Park, Srinivasa Narasimhan +1
cs.CVcs.GRcs.LGarXiv:2403.12036v12024
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Yang Deng, Yaliang Li, Fei Sun +2
cs.IRarXiv:2105.09710v12021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Enyan Dai, Charu Aggarwal, Suhang Wang
cs.LGarXiv:2106.04714v12021
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
Nicholas Meade, Elinor Poole-Dayan, Siva Reddy
cs.CLcs.LGarXiv:2110.08527v32021
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
Xiangyu Gao, Guanbin Xing, Sumit Roy +1
eess.SPcs.AIcs.CVarXiv:2011.08981v22020
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling
cs.LGcs.AIstat.MLarXiv:1905.11786v32019
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Nathaniel Li, Ziwen Han, Ian Steneker +6
cs.LGcs.CLcs.CRarXiv:2408.15221v22024
Learning transferable human physiology from two million hours of sleep with SleepFM-2
Rahul Thapa, Christopher Sun, William Theodor Lehn-Schioler +14
cs.AIarXiv:2609.06849v12026
Decentralised LTL Monitoring
Andreas Bauer, Yliès Falcone
cs.SEarXiv:1111.5133v32011
Re-thinking Co-Salient Object Detection
Deng-Ping Fan, Tengpeng Li, Zheng Lin +5
cs.CVarXiv:2007.03380v42020
NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global Cultures
Akhila Yerukola, Fabrice Y Harel-Canada, Simran Khanuja +5
cs.AIcs.CLarXiv:2609.06831v12026
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Dongruo Zhou, Jinghui Chen, Yuan Cao +2
cs.LGmath.OCstat.MLarXiv:1808.05671v42018
Quantifying Privacy Leakage in Graph Embedding
Vasisht Duddu, Antoine Boutet, Virat Shejwalkar
cs.CRarXiv:2010.00906v22020
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Zheng Chen, Yulun Zhang, Ding Liu +4
cs.CVarXiv:2305.12966v42023

Every paper with a summary

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

On the Pragmatic Design of Literature Studies in Software Engineering: An Experience-based Guideline

VST: Verifiable Structured Transport for Auditable Agent-to-Agent Alpha Discovery

Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench

RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

Adaptive approximate Bayesian computation for complex models

Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes

A Study of Face Obfuscation in ImageNet

Dynamic effective connectivity of inter-areal brain circuits

Lenient Multi-Agent Deep Reinforcement Learning

JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

Co-regularized Alignment for Unsupervised Domain Adaptation

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

RedKnot-MLA: Multi-Head Offline-Online Reuse for DeepSeek-V4 Long-Context Serving

What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-based Evolutionary Multi-Objective Optimisation

A Long Way to the Top: Significance, Structure, and Stability of Internet Top Lists

Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop Retrieval

Active Federated Learning

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

ShuffleMixer: An Efficient ConvNet for Image Super-Resolution

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining

When and Why LLM Causal Priors Help: Closed-Loop Prior Selection for Amortized Causal Inference

Counterfactual Story Reasoning and Generation

Specformer: Spectral Graph Neural Networks Meet Transformers

SemKV: Semantic Mixed-Precision KV Cache Quantization Guided by the Quality Cliff for Long-Context LLM Inference

Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption

Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization

Stochastic Nested Variance Reduction for Nonconvex Optimization

Global Uniqueness and Solvability for Tensor Complementarity Problems

Formation of structural attractors in neuromorphic systems

PonderNet: Learning to Ponder

Optimizing User Association and Spectrum Allocation in HetNets: A Utility Perspective

MatterGen: a generative model for inorganic materials design

A visual large language foundational model for medical image recognition using clinician-oriented social media

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

Stagewise Safe Bayesian Optimization with Gaussian Processes

Interference Alignment as a Rank Constrained Rank Minimization

Speaker Anonymization Using X-vector and Neural Waveform Models

Old Optimizer, New Norm: An Anthology

Learning to Continually Learn

Not all generalisation failures can be bought back: four boundaries in affective audio modelling

Mixture Models for Diverse Machine Translation: Tricks of the Trade

Simulating the Marginal Green Contribution of AI Modules in a Smart-Agriculture Platform: Evidence from Two Monte Carlo Experiments

OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining

A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection

One-Step Image Translation with Text-to-Image Models

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

Putting An End to End-to-End: Gradient-Isolated Learning of Representations

LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Learning transferable human physiology from two million hours of sleep with SleepFM-2

Decentralised LTL Monitoring

Re-thinking Co-Salient Object Detection

NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global Cultures

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization

Quantifying Privacy Leakage in Graph Embedding

Hierarchical Integration Diffusion Model for Realistic Image Deblurring