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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52,741 to 52,800 of 119,865

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
Jae Shin Yoon, Kihwan Kim, Orazio Gallo +2
cs.CVarXiv:2004.01294v12020
Assessing Knowledge Editing in Language Models via Relation Perspective
Yifan Wei, Xiaoyan Yu, Huanhuan Ma +4
cs.CLcs.AIarXiv:2311.09053v12023
G-CNN: an Iterative Grid Based Object Detector
Mahyar Najibi, Mohammad Rastegari, Larry S. Davis
cs.CVarXiv:1512.07729v22015
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data
Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang
cs.ITcs.LGmath.ITarXiv:1907.02745v12019
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems
Ishan Kavathekar, Hemang Jain, Ameya Rathod +2
cs.MAcs.AIarXiv:2511.05269v12025
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang, Jian Huang
math.STarXiv:0808.0967v12008
An Improved Approximation for $k$-median, and Positive Correlation in Budgeted Optimization
Jarosław Byrka, Thomas Pensyl, Bartosz Rybicki +2
cs.DSarXiv:1406.2951v42014
Do Language Models Consistently Encode the Current Year?
Suze van Adrichem, Aditi Bhaskar, Diyi Yang +2
cs.CLcs.LGarXiv:2608.15507v12026
Using Word Embeddings in Twitter Election Classification
Xiao Yang, Craig Macdonald, Iadh Ounis
cs.IRcs.CLarXiv:1606.07006v32016
PageRank: Standing on the shoulders of giants
Massimo Franceschet
cs.IRcs.DLarXiv:1002.2858v32010
Computing the Discrete Fréchet Distance in Subquadratic Time
Pankaj K. Agarwal, Rinat Ben Avraham, Haim Kaplan +1
cs.CGarXiv:1204.5333v12012
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan +1
cs.LGcs.CVarXiv:1812.03664v62018
Evasion Attacks against Machine Learning at Test Time
Battista Biggio, Igino Corona, Davide Maiorca +5
cs.CRcs.LGarXiv:1708.06131v12017
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang, Ziyu Guan, Jianxin Li +3
cs.LGcs.SIstat.MLarXiv:2005.13183v32020
$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Or Honovich, Leshem Choshen, Roee Aharoni +3
cs.CLarXiv:2104.08202v22021
Generalized Random Forests
Susan Athey, Julie Tibshirani, Stefan Wager
stat.MEecon.EMstat.MLarXiv:1610.01271v42016
Localization and centrality in networks
Travis Martin, Xiao Zhang, M. E. J. Newman
cs.SIcond-mat.stat-mechphysics.soc-pharXiv:1401.5093v22014
Scaling Wearable Foundation Models
Girish Narayanswamy, Xin Liu, Kumar Ayush +15
cs.LGcs.AIcs.HCarXiv:2410.13638v12024
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
Junhyeong Cho, Kim Youwang, Tae-Hyun Oh
cs.CVcs.AIcs.LGarXiv:2207.13820v12022
mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
Luiz Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio +4
cs.CLcs.AIarXiv:2108.13897v52021
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan +1
cs.CVcs.GRcs.LGarXiv:1808.05174v12018
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang +4
cs.LGcs.CLcs.DCarXiv:2309.14509v22023
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
Andong Lu, Chenglong Li, Yuqing Yan +2
cs.CVarXiv:2011.07189v32020
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
Haoyang Li, Shang Wu, Xiaokang Zhang +9
cs.CLcs.DBarXiv:2503.02240v22025
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Yiming Cui, Wanxiang Che, Ting Liu +3
cs.CLarXiv:2004.13922v22020
OminiControl: Minimal and Universal Control for Diffusion Transformer
Zhenxiong Tan, Songhua Liu, Xingyi Yang +2
cs.CVcs.AIcs.LGarXiv:2411.15098v62024
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Taihong Xiao, Jiapeng Hong, Jinwen Ma
cs.CVarXiv:1803.10562v22018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, Jungtaek Kim +3
cs.LGstat.MLarXiv:1810.00825v32018
Modern hierarchical, agglomerative clustering algorithms
Daniel Müllner
stat.MLcs.DSarXiv:1109.2378v12011
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition
Hao Zhou, Wengang Zhou, Yun Zhou +1
cs.CVarXiv:2002.03187v12020
The Structure of Online Social Networks Mirror Those in the Offline World
R. I. M. Dunbar, Valerio Arnaboldi, Marco Conti +1
cs.SIarXiv:2205.13980v12022
Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, Seth Lloyd
quant-phcs.LGarXiv:1307.0471v32013
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang Gu, Timothy Lillicrap, Zoubin Ghahramani +3
cs.LGcs.AIcs.ROarXiv:1706.00387v12017
Provable Tensor Factorization with Missing Data
Prateek Jain, Sewoong Oh
stat.MLarXiv:1406.2784v12014
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen +4
eess.IVcs.CVarXiv:2004.01179v12020
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds
Michael Levin
q-bio.TOcs.MAq-bio.CBarXiv:2201.10346v12021
Beware of the Unexpected: Bimodal Taint Analysis
Yiu Wai Chow, Max Schäfer, Michael Pradel
cs.SEcs.CRcs.PLarXiv:2301.10545v12023
Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
Meng Lou, Hanzhong Guo, Linwei Chen +1
cs.CVcs.LGarXiv:2605.09640v12026
Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection
Sisi Zhu, Changwei Yu, Renshuai Tao +1
cs.CVarXiv:2608.29467v12026
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
Minchan Kwon, Gaeun Kim, Jongsuk Kim +2
cs.CLarXiv:2410.07652v12024
Mixed High-Order Attention Network for Person Re-Identification
Binghui Chen, Weihong Deng, Jiani Hu
cs.CVarXiv:1908.05819v12019
Galerkin v. least-squares Petrov--Galerkin projection in nonlinear model reduction
Kevin Carlberg, Matthew Barone, Harbir Antil
math.NAarXiv:1504.03749v32015
NovaSplat: Model-Free 6D Object Pose Estimation via 3D Gaussian Splatting Onboarding and Refinement
Georgios Floros, Evangelos Sartinas, Orestis Vangelis +1
cs.CVcs.ROarXiv:2610.13309v12026
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
Zefan Wang, Zichuan Liu, Yingying Zhang +6
cs.SEcs.CLarXiv:2310.16340v32023
How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis
cs.LGcs.CLarXiv:2604.21106v32026
Deep Reinforcement Learning for Sepsis Treatment
Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed +3
cs.AIcs.LGarXiv:1711.09602v12017
A Constant-Factor Approximation for Wireless Capacity Maximization with Power Control in the SINR Model
Thomas Kesselheim
cs.NIcs.DSarXiv:1007.1611v22010
Conversational AI: The Science Behind the Alexa Prize
Ashwin Ram, Rohit Prasad, Chandra Khatri +15
cs.AIcs.CLcs.CYarXiv:1801.03604v12018
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Bochuan Cao, Yuanpu Cao, Lu Lin +1
cs.CLcs.AIcs.CRarXiv:2309.14348v32023
Bridging Traditional and Machine Learning-based Algorithms for Solving PDEs: The Random Feature Method
Jingrun Chen, Xurong Chi, Weinan E +1
math.NAphysics.comp-pharXiv:2207.13380v12022
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu, Anant Sahai
cs.LGstat.MLarXiv:2410.04638v22024
Uncertainty Inspired Underwater Image Enhancement
Zhenqi Fu, Wu Wang, Yue Huang +2
cs.CVarXiv:2207.09689v12022
Policy Optimization and Statistical Inference for Online Contextual Matrix Games
Liner Xiang, Yixin Wang, Hengrui Cai
stat.MLcs.LGmath.STarXiv:2608.17173v12026
Provably Efficient Exploration in Policy Optimization
Qi Cai, Zhuoran Yang, Chi Jin +1
cs.LGmath.OCstat.MLarXiv:1912.05830v42019
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu +1
cs.AIarXiv:1811.00090v42018
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou
cs.LGcs.DCarXiv:2105.10056v22021
Evolutionary Stochastic Search for Bayesian model exploration
Leonardo Bottolo, Sylvia Richardson
stat.COstat.MEarXiv:1002.2706v12010
Lagrangian ADER-WENO Finite Volume Schemes on Unstructured Tetrahedral Meshes for Conservative and Nonconservative Hyperbolic Systems in 3D
Walter Boscheri, Michael Dumbser
math.NAcs.NAarXiv:1402.1074v12014
Measuring night sky brightness: methods and challenges
Andreas Hänel, Thomas Posch, Salvador J. Ribas +10
astro-ph.IMarXiv:1709.09558v12017
CrossFeat: Bridging Imaging Modalities in Feature Descriptor Space
Paul Schneider, Nazim Haouchine
cs.CVarXiv:2609.00272v12026

Every paper with a summary

Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera

Assessing Knowledge Editing in Language Models via Relation Perspective

G-CNN: an Iterative Grid Based Object Detector

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems

The sparsity and bias of the Lasso selection in high-dimensional linear regression

An Improved Approximation for $k$-median, and Positive Correlation in Budgeted Optimization

Do Language Models Consistently Encode the Current Year?

Using Word Embeddings in Twitter Election Classification

PageRank: Standing on the shoulders of giants

Computing the Discrete Fréchet Distance in Subquadratic Time

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Evasion Attacks against Machine Learning at Test Time

Interpretable and Efficient Heterogeneous Graph Convolutional Network

$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

Generalized Random Forests

Localization and centrality in networks

Scaling Wearable Foundation Models

Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers

mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset

Recycle-GAN: Unsupervised Video Retargeting

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Revisiting Pre-Trained Models for Chinese Natural Language Processing

OminiControl: Minimal and Universal Control for Diffusion Transformer

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Modern hierarchical, agglomerative clustering algorithms

Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition

The Structure of Online Social Networks Mirror Those in the Offline World

Quantum support vector machine for big data classification

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning

Provable Tensor Factorization with Missing Data

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds

Beware of the Unexpected: Bimodal Taint Analysis

Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning

Co-Evolutionary Prompt Optimization with Cross-Category Transfer for Zero-Shot Anomaly Detection

StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models

Mixed High-Order Attention Network for Person Re-Identification

Galerkin v. least-squares Petrov--Galerkin projection in nonlinear model reduction

NovaSplat: Model-Free 6D Object Pose Estimation via 3D Gaussian Splatting Onboarding and Refinement

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models

How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models

Deep Reinforcement Learning for Sepsis Treatment

A Constant-Factor Approximation for Wireless Capacity Maximization with Power Control in the SINR Model

Conversational AI: The Science Behind the Alexa Prize

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Bridging Traditional and Machine Learning-based Algorithms for Solving PDEs: The Random Feature Method

Provable Weak-to-Strong Generalization via Benign Overfitting

Uncertainty Inspired Underwater Image Enhancement

Policy Optimization and Statistical Inference for Online Contextual Matrix Games

Provably Efficient Exploration in Policy Optimization

SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

Data-Free Knowledge Distillation for Heterogeneous Federated Learning

Evolutionary Stochastic Search for Bayesian model exploration

Lagrangian ADER-WENO Finite Volume Schemes on Unstructured Tetrahedral Meshes for Conservative and Nonconservative Hyperbolic Systems in 3D

Measuring night sky brightness: methods and challenges

CrossFeat: Bridging Imaging Modalities in Feature Descriptor Space