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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56,101 to 56,160 of 117,749

Spectre is here to stay: An analysis of side-channels and speculative execution
Ross Mcilroy, Jaroslav Sevcik, Tobias Tebbi +2
cs.PLcs.CRarXiv:1902.05178v12019
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon
cs.LGstat.MLarXiv:1807.00263v12018
PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems
Hanglong Lv, Dawei Zhu, Lei Li +11
cs.CLarXiv:2608.28378v12026
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Xin Yuan, Yang Liu, Jinli Suo +1
eess.IVcs.CVarXiv:2003.13654v22020
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp +1
cs.CVarXiv:1904.06830v12019
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Zuyao Chen, Qianqian Xu, Runmin Cong +1
cs.CVarXiv:2003.00651v12020
The NES Music Database: A multi-instrumental dataset with expressive performance attributes
Chris Donahue, Huanru Henry Mao, Julian McAuley
cs.SDcs.LGcs.NEarXiv:1806.04278v12018
Causality matters in medical imaging
Daniel C. Castro, Ian Walker, Ben Glocker
eess.IVcs.AIcs.CVarXiv:1912.08142v12019
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran, Quentin Duval, Ishan Misra +5
cs.CVcs.AIcs.LGarXiv:2301.08243v32023
VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement
Haiqiang Wang, Ioannis Katsavounidis, Jiantong Zhou +11
cs.MMarXiv:1701.01500v22017
Revisiting Long-context Modeling from Context Denoising Perspective
Zecheng Tang, Baibei Ji, Juntao Li +3
cs.CLcs.AIarXiv:2510.05862v22025
Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMs
Anand, Umberto Cappellazzo, Stavros Petridis +1
eess.AScs.CVcs.SDarXiv:2510.22603v32025
CMasher: Scientific colormaps for making accessible, informative and 'cmashing' plots
Ellert van der Velden
eess.IVphysics.data-anarXiv:2003.01069v12020
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas, Weihao Kong, Alistair Stewart
cs.LGcs.CCcs.DSarXiv:1806.00040v12018
Bots, #StrongerIn, and #Brexit: Computational Propaganda during the UK-EU Referendum
Philip N. Howard, Bence Kollanyi
cs.SIphysics.soc-pharXiv:1606.06356v12016
Equalized odds postprocessing under imperfect group information
Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern
stat.MLcs.LGarXiv:1906.03284v32019
Learning the quantum algorithm for state overlap
Lukasz Cincio, Yiğit Subaşı, Andrew T. Sornborger +1
quant-pharXiv:1803.04114v22018
SALMON: Self-Alignment with Instructable Reward Models
Zhiqing Sun, Yikang Shen, Hongxin Zhang +5
cs.CLcs.AIcs.LGarXiv:2310.05910v22023
MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
Qinghua Liu, Sam Heshmati, Zheda Mai +3
cs.LGcs.AIcs.CVarXiv:2510.07513v12025
Quantum Deep Learning
Nathan Wiebe, Ashish Kapoor, Krysta M. Svore
quant-phcs.LGcs.NEarXiv:1412.3489v22014
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu, Cong Leng, Yuhang Wang +2
cs.CVarXiv:1512.06473v32015
Machine learning based spatio-temporal super resolution reconstruction of turbulent flows
Kai Fukami, Koji Fukagata, Kunihiko Taira
physics.flu-dynphysics.comp-pharXiv:2004.11566v22020
Propagating Confidences through CNNs for Sparse Data Regression
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
cs.CVcs.LGarXiv:1805.11913v32018
Multichannel adaptive signal detection: Basic theory and literature review
Weijian Liu, Jun Liu, Chengpeng Hao +2
stat.AParXiv:2102.03474v12021
Controlled Decoding from Language Models
Sidharth Mudgal, Jong Lee, Harish Ganapathy +10
cs.LGcs.AIcs.CLarXiv:2310.17022v32023
Quantum f-divergences and error correction
F. Hiai, M. Mosonyi, D. Petz +1
math-phcs.ITquant-pharXiv:1008.2529v62010
Grant-Free Massive MTC-Enabled Massive MIMO: A Compressive Sensing Approach
Kamil Senel, Erik G. Larsson
cs.ITarXiv:1806.10061v12018
How do infinite width bounded norm networks look in function space?
Pedro Savarese, Itay Evron, Daniel Soudry +1
cs.LGstat.MLarXiv:1902.05040v12019
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang, Ziyu Guo, Rongyao Fang +5
cs.CVcs.AIarXiv:2205.14401v22022
Unrestricted Boolean Multiplicative Complexity of Four-Term Binary Polynomial Multiplication: Rational Places, Hasse Jets, and the Failure of Nonlinear Feedback
Gregory Morse
cs.CCcs.DSarXiv:2608.30238v12026
Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems
Nicolas Tancogne-Dejean, Micael J. T. Oliveira, Xavier Andrade +31
physics.comp-pharXiv:1912.07921v12019
Exploring Representativeness and Informativeness for Active Learning
Bo Du, Zengmao Wang, Lefei Zhang +4
cs.LGstat.MLarXiv:1904.06685v12019
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
Shiyan Su, Ruyi Zha, Danli Shi +2
eess.IVcs.CVarXiv:2604.21518v12026
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Zhuoqun Li, Xuanang Chen, Haiyang Yu +7
cs.CLcs.AIarXiv:2410.08815v22024
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch, Gbètondji J-S Dovonon, Jean Kaddour +1
cs.CVcs.LGarXiv:2303.05470v32023
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata +4
cs.AIcs.CLcs.CVarXiv:1802.08129v12018
HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents
Tencent Robotics X, HY Vision Team, : +20
cs.CVarXiv:2604.07430v12026
Large Language Models Are Overconfident in Their Own Responses
Mario Sanz-Guerrero, Manuel Mager, Katharina von der Wense
cs.CLarXiv:2606.03437v12026
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan +1
stat.MLcs.AIcs.LGarXiv:1802.06485v22018
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model
Zhuoran Qiao, Weili Nie, Arash Vahdat +2
q-bio.QMcs.LGq-bio.BMarXiv:2209.15171v22022
Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-Maron, Matthew W. Hoffman, David Budden +6
cs.LGcs.AIstat.MLarXiv:1804.08617v12018
Watching What We Eat: Information Quality and Body Image in Diet-Related YouTube Videos
Maddalena Ghiotti, Daniela Paolotti, Yelena Mejova
cs.CYarXiv:2609.28114v12026
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen, Baoan Liu, Chen Feng +2
cs.CVeess.SParXiv:2003.00601v12020
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
cs.LGcs.CVcs.NEarXiv:1907.03799v32019
Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy, Matthew D. Hoffman, Jascha Sohl-Dickstein
stat.MLcs.AIcs.LGarXiv:1711.09268v32017
Synchronization Strings over the Optimal Alphabet
Huibo Xu, Shi Fu, Youming Qiao +1
cs.ITcs.DMcs.FLarXiv:2609.04122v22026
Random Features Strengthen Graph Neural Networks
Ryoma Sato, Makoto Yamada, Hisashi Kashima
cs.LGstat.MLarXiv:2002.03155v32020
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
Lei Shi, Yifan Zhang, Jian Cheng +1
cs.CVarXiv:1805.07694v32018
Novel Architectures and Algorithms for Delay Reduction in Back-pressure Scheduling and Routing
Loc Bui, R. Srikant, Alexander Stolyar
cs.NIarXiv:0901.1312v32009
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications
David Byrd, Antigoni Polychroniadou
cs.CRcs.AIcs.MAarXiv:2010.05867v12020
Sense Once, Serve Many: Common-Trace Factorized Constrained PPO for Online Sensing-Session Consolidation in Multi-Tenant ISAC Networks
Dang-Dung Vu
cs.NIcs.LGarXiv:2608.29256v12026
QCxSimulation: Scatter-Aware X-Ray Projection Radiography via Discrete-Time Quantum Walks
Anja Heim, Theobald Fuchs, Thomas Lang +4
quant-phcs.ETarXiv:2609.07089v12026
V2X Meets NOMA: Non-Orthogonal Multiple Access for 5G Enabled Vehicular Networks
Boya Di, Lingyang Song, Yonghui Li +1
cs.ITcs.NIarXiv:1705.08709v12017
Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
Ci-Siang Lin, Min-Hung Chen, I-Jieh Liu +3
cs.CVarXiv:2510.07319v12025
Learning Fast and Robust Target Models for Video Object Segmentation
Andreas Robinson, Felix Järemo Lawin, Martin Danelljan +2
cs.CVarXiv:2003.00908v22020
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu, José Lezama, Nitesh B. Gundavarapu +13
cs.CVcs.AIcs.MMarXiv:2310.05737v32023
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee +3
cs.CLarXiv:1805.06266v22018
Frustration in Biomolecules
Diego U. Ferreiro, Elizabeth A. Komives, Peter G. Wolynes
q-bio.BMcond-mat.softarXiv:1312.0867v12013
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu +7
q-bio.NCcs.LGcs.NEarXiv:2204.07054v32022
Dynamic network drivers of seizure generation, propagation and termination in human epilepsy
Ankit Khambhati, Brian Litt, Danielle S. Bassett
q-bio.NCarXiv:1407.5105v12014

Every paper with a summary

Spectre is here to stay: An analysis of side-channels and speculative execution

Accurate Uncertainties for Deep Learning Using Calibrated Regression

PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

The NES Music Database: A multi-instrumental dataset with expressive performance attributes

Causality matters in medical imaging

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement

Revisiting Long-context Modeling from Context Denoising Perspective

Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMs

CMasher: Scientific colormaps for making accessible, informative and 'cmashing' plots

Efficient Algorithms and Lower Bounds for Robust Linear Regression

Bots, #StrongerIn, and #Brexit: Computational Propaganda during the UK-EU Referendum

Equalized odds postprocessing under imperfect group information

Learning the quantum algorithm for state overlap

SALMON: Self-Alignment with Instructable Reward Models

MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis

Quantum Deep Learning

Quantized Convolutional Neural Networks for Mobile Devices

Machine learning based spatio-temporal super resolution reconstruction of turbulent flows

Propagating Confidences through CNNs for Sparse Data Regression

Multichannel adaptive signal detection: Basic theory and literature review

Controlled Decoding from Language Models

Quantum f-divergences and error correction

Grant-Free Massive MTC-Enabled Massive MIMO: A Compressive Sensing Approach

How do infinite width bounded norm networks look in function space?

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

Unrestricted Boolean Multiplicative Complexity of Four-Term Binary Polynomial Multiplication: Rational Places, Hasse Jets, and the Failure of Nonlinear Feedback

Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems

Exploring Representativeness and Informativeness for Active Learning

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents

Large Language Models Are Overconfident in Their Own Responses

Robust Estimation via Robust Gradient Estimation

State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

Distributed Distributional Deterministic Policy Gradients

Watching What We Eat: Information Quality and Body Image in Diet-Related YouTube Videos

3D Point Cloud Processing and Learning for Autonomous Driving

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches

Generalizing Hamiltonian Monte Carlo with Neural Networks

Synchronization Strings over the Optimal Alphabet

Random Features Strengthen Graph Neural Networks

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

Novel Architectures and Algorithms for Delay Reduction in Back-pressure Scheduling and Routing

Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications

Sense Once, Serve Many: Common-Trace Factorized Constrained PPO for Online Sensing-Session Consolidation in Multi-Tenant ISAC Networks

QCxSimulation: Scatter-Aware X-Ray Projection Radiography via Discrete-Time Quantum Walks

V2X Meets NOMA: Non-Orthogonal Multiple Access for 5G Enabled Vehicular Networks

Temporal Prompting Matters: Rethinking Referring Video Object Segmentation

Learning Fast and Robust Target Models for Video Object Segmentation

Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss

Frustration in Biomolecules

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Dynamic network drivers of seizure generation, propagation and termination in human epilepsy