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.
Search paper metadata (including unsummarized papers)
28,081 to 28,140 of 117,801
Fast Trainable Multilinear Bases for Image Compression
Shiwen An, Zhongyi Ni, Huanhai Zhou +1
eess.IVcs.CVcs.LGarXiv:2608.00053v42026RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
Huiyang Shao, Xin Xia, Yuhong Yang +3
cs.LGcs.CVarXiv:2503.07699v22025STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Zhe Jiang +2
cs.LGarXiv:2209.00225v22022The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +70
eess.IVcs.CVcs.LGarXiv:2305.17033v72023The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +68
cs.CVeess.IVarXiv:2404.15009v42024From Structure to Detail: Hierarchical Distillation for Efficient Diffusion Model
Hanbo Cheng, Peng Wang, Kaixiang Lei +4
cs.CVcs.AIarXiv:2511.08930v12025Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu, Tharmalingam Ratnarajah, Mathini Sellathurai +1
cs.LGcs.NIarXiv:2309.01816v32023Improved Training Technique for Latent Consistency Models
Quan Dao, Khanh Doan, Di Liu +2
cs.CVcs.LGarXiv:2502.01441v22025SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
Zhangkai Wu, Xuhui Fan, Hongyu Wu +1
cs.CVcs.LGarXiv:2502.16972v42025The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta +57
cs.CVcs.AIcs.LGarXiv:2305.07642v12023The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi +48
eess.IVcs.CVphysics.med-pharXiv:2305.19369v12023Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification
Jing Li
stat.MLcs.LGarXiv:2408.10193v22024CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
Pei Ke, Bosi Wen, Zhuoer Feng +9
cs.CLcs.AIarXiv:2311.18702v22023On the completeness of quantum computation models
Pablo Arrighi, Gilles Dowek
cs.CCcs.LOquant-pharXiv:1004.1027v12010A Quantum Complexity Lowerbound from Differential Geometry
Adam R. Brown
hep-thmath.DGquant-pharXiv:2112.05724v12021The physical Church-Turing thesis and the principles of quantum theory
Pablo Arrighi, Gilles Dowek
quant-phcs.DMcs.FLarXiv:1102.1612v12011Local random quantum circuits are approximate polynomial-designs
Fernando G. S. L. Brandao, Aram W. Harrow, Michal Horodecki
quant-pharXiv:1208.0692v42012ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong, Jinhao Duan, Lichao Sun +6
cs.CVarXiv:2311.14097v32023Simulation of Many-Body Hamiltonians using Perturbation Theory with Bounded-Strength Interactions
Sergey Bravyi, David P. DiVincenzo, Daniel Loss +1
quant-phcond-mat.othermath-pharXiv:0803.2686v12008Learning Few-Step Diffusion Models by Trajectory Distribution Matching
Yihong Luo, Tianyang Hu, Jiacheng Sun +2
cs.CVarXiv:2503.06674v22025FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Hong Zhang, Ji Liu, Juncheng Jia +3
cs.DCcs.AIarXiv:2204.11536v12022Distribution Matching Distillation without Fake Score Network
Youngjoong Kim, Deokyeong Lee, Jaesik Park
cs.CVarXiv:2605.19256v12026AdvDMD: Adversarial Reward Meets DMD For High-Quality Few-Step Generation
Xu Wang, Zexian Li, Litong Gong +2
cs.CVcs.AIarXiv:2604.28126v12026SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Trung Dao, Thuan Hoang Nguyen, Thanh Le +4
cs.CVcs.AIarXiv:2408.14176v22024Single Shot Structured Pruning Before Training
Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar +2
cs.LGstat.MLarXiv:2007.00389v12020The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
Ahmed W. Moawad, Anastasia Janas, Ujjwal Baid +229
q-bio.OTeess.IVarXiv:2306.00838v32023SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
Zhuguanyu Wu, Ruihao Gong, Yang Yong +5
cs.CVcs.LGarXiv:2605.30116v22026$R_\text{dm}$: Re-conceptualizing Distribution Matching as a Reward for Diffusion Distillation
Linqian Fan, Peiqin Sun, Tiancheng Wen +2
cs.CVcs.LGarXiv:2603.28460v22026SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
Thuan Hoang Nguyen, Anh Tran
cs.CVarXiv:2312.05239v72023EM Distillation for One-step Diffusion Models
Sirui Xie, Zhisheng Xiao, Diederik P Kingma +6
cs.LGcs.AIstat.MLarXiv:2405.16852v22024Is the k-NN classifier in high dimensions affected by the curse of dimensionality?
Vladimir Pestov
stat.MLarXiv:1110.4347v32011Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving
Tianyi Yang, Haojun Yang, Jipeng Xiao +4
cs.CVarXiv:2610.15112v12026One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAG
Neeraj Anand, Payel Santra, Partha Basuchowdhuri +2
cs.IRcs.AIarXiv:2609.17709v12026Time-Varying Graphs and Social Network Analysis: Temporal Indicators and Metrics
Nicola Santoro, Walter Quattrociocchi, Paola Flocchini +2
cs.SIcs.AIcs.DCarXiv:1102.0629v12011The simplest maximum entropy model for collective behavior in a neural network
Gasper Tkacik, Olivier Marre, Thierry Mora +3
q-bio.NCcond-mat.dis-nncond-mat.stat-mecharXiv:1207.6319v12012Iterative Flow Matching: Path Correction and Gradual Refinement for Enhanced Generative Modeling
Eldad Haber, Shadab Ahamed, Md. Shahriar Rahim Siddiqui +2
cs.LGcs.AIcs.CVarXiv:2502.16445v42025Backdoor Attacks on Federated Meta-Learning
Chien-Lun Chen, Leana Golubchik, Marco Paolieri
cs.LGcs.CRcs.DCarXiv:2006.07026v22020BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
Lijian Li, Yuanpeng He, Yudian Zheng +6
cs.CVcs.AIarXiv:2610.16330v12026All-St3R SLAM: Real-time RGB Dynamic SLAM with Pixel-wise Motion Masking
Yewon Kim, Paul Hongsuck Seo, Sang Chul Ahn
cs.CVcs.ROarXiv:2610.16143v12026Is Luke the Author of a Gospel and the Acts of the Apostles?
Jacques Savoy
cs.CLcs.AIcs.DLarXiv:2609.17762v12026Framework for an AI-Ready ARPES Community Database
Zhi-Xun Shen, Jin Gene Wong, Karen Lei +41
cond-mat.mtrl-scicond-mat.str-elcond-mat.supr-conarXiv:2610.15236v12026Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation
Hermann Kumbong, Ishan S. Khare, Iddah Mlauzi +6
cs.CLcs.AIcs.LGarXiv:2610.14162v12026Evolution of US Oral Political Language
Jacques Savoy
cs.CLcs.AIcs.DLarXiv:2609.17755v12026Multivariate probabilistic forecasting using Bayesian model averaging and copulas
Annette Möller, Alex Lenkoski, Thordis L. Thorarinsdottir
stat.AParXiv:1202.3956v12012Generating Fair Universal Representations using Adversarial Models
Peter Kairouz, Jiachun Liao, Chong Huang +3
cs.LGstat.MLarXiv:1910.00411v72019CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors
Fabrizio Cesareo, Sebastiano Mengozzi, Nicola Mimmo +1
cs.ROcs.AIarXiv:2609.17758v12026REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff
Riyaaz Shaik, Chandru Venkataraman
cs.LGcs.AIcs.ROarXiv:2609.17745v12026Semi-Cyclic Stochastic Gradient Descent
Hubert Eichner, Tomer Koren, H. Brendan McMahan +2
cs.LGstat.MLarXiv:1904.10120v12019Privacy for the Protected (Only)
Michael Kearns, Aaron Roth, Zhiwei Steven Wu +1
cs.DScs.CRcs.CYarXiv:1506.00242v12015STAC: When Innocent Tools Form Dangerous Chains for LLM Agents
Jing-Jing Li, Jianfeng He, Chao Shang +6
cs.CRcs.AIcs.CLarXiv:2509.25624v32025MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection
Yue Wang, Yi Liu, Gelei Deng +4
cs.CRcs.AIarXiv:2608.19901v12026Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts
Christos Ziakas, Nicholas Loo, Nishita Jain +1
cs.CLarXiv:2510.07239v22025Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
Zhaoyang Chu, Yao Wan, Qian Li +5
cs.SEcs.AIcs.CRarXiv:2404.15687v22024Benchmarking Language Model Creativity: A Case Study on Code Generation
Yining Lu, Dixuan Wang, Tianjian Li +4
cs.CLarXiv:2407.09007v22024Communication-Efficient Local Decentralized SGD Methods
Xiang Li, Wenhao Yang, Shusen Wang +1
stat.MLcs.LGmath.OCarXiv:1910.09126v52019Fair Decision Making using Privacy-Protected Data
Satya Kuppam, Ryan Mckenna, David Pujol +3
cs.DBarXiv:1905.12744v22019Breaking the Flow and the Bank: Stealthy Cyberattacks on Water Network Hydraulics
Abdallah Alalem Albustami, Ahmad F. Taha
eess.SYcs.CRcs.SYarXiv:2504.17211v12025Distributed Learning over Unreliable Networks
Chen Yu, Hanlin Tang, Cedric Renggli +5
cs.DCcs.LGarXiv:1810.07766v42018On the Second-Order Asymptotics for Entanglement-Assisted Communication
Nilanjana Datta, Marco Tomamichel, Mark M. Wilde
quant-pharXiv:1405.1797v22014Second-order asymptotics for quantum hypothesis testing in settings beyond i.i.d. - quantum lattice systems and more
Nilanjana Datta, Yan Pautrat, Cambyse Rouzé
quant-phmath-phmath.MParXiv:1510.04682v42015