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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16,681 to 16,740 of 117,794
Improved large-scale graph learning through ridge spectral sparsification
Daniele Calandriello, Ioannis Koutis, Alessandro Lazaric +1
cs.LGstat.MLarXiv:2604.20078v12026Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR
Jeonghye Kim, Jiwon Jeon, Dongsheng Li +1
cs.LGcs.CLarXiv:2605.10781v12026Lost in Stories: Consistency Bugs in Long Story Generation by LLMs
Junjie Li, Xinrui Guo, Yuhao Wu +3
cs.CLcs.AIarXiv:2603.05890v12026AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim, Anil K. Jain, Xiaoming Liu
cs.CVarXiv:2204.00964v22022Computing with many encoded logical qubits beyond break-even
Shival Dasu, Matthew DeCross, Andrew Y. Guo +42
quant-pharXiv:2602.22211v12026Programming Refusal with Conditional Activation Steering
Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy +4
cs.LGcs.AIcs.CLarXiv:2409.05907v32024Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis
Xiaoming Sun, Guojing Tian, Shuai Yang +2
quant-pharXiv:2108.06150v32021Latent Matters: Learning Deep State-Space Models
Alexej Klushyn, Richard Kurle, Maximilian Soelch +2
cs.LGarXiv:2602.23050v22026Few-Step Diffusion Language Models via Trajectory Self-Distillation
Tunyu Zhang, Xinxi Zhang, Ligong Han +10
cs.CLcs.LGarXiv:2602.12262v42026The Complexity of Constrained Min-Max Optimization
Constantinos Daskalakis, Stratis Skoulakis, Manolis Zampetakis
cs.CCcs.LGmath.OCarXiv:2009.09623v12020Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
Daniel Kunin, Allan Raventós, Clémentine Dominé +4
cs.LGcs.AIstat.MLarXiv:2406.06158v22024LLM-42: Enabling Determinism in LLM Inference with Verified Speculation
Raja Gond, Aditya K Kamath, Ramachandran Ramjee +1
cs.LGcs.AIcs.DCarXiv:2601.17768v22026Stability and error analysis of fully discrete original energy-dissipative and length-preserving scheme for the Landau-Lifshitz-Gilbert equation
Binghong Li, Xiaoli Li, Cheng Wang +1
math.NAarXiv:2602.07571v32026Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
Martin Larocca, Piotr Czarnik, Kunal Sharma +3
quant-pharXiv:2105.14377v32021Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
math.OCcs.CVarXiv:2201.13256v42022The effect of data encoding on the expressive power of variational quantum machine learning models
Maria Schuld, Ryan Sweke, Johannes Jakob Meyer
quant-phstat.MLarXiv:2008.08605v22020Quantum Cellular Automata on a Dual-Species Rydberg Processor
Ryan White, Vikram Ramesh, Alexander Impertro +6
quant-phcond-mat.quant-gasarXiv:2601.16257v32026BDF2-type integrator for Landau-Lifshitz-Gilbert equation in micromagnetics: unconditional weak convergence to weak solutions
Michele Aldé, Michael Feischl, Dirk Praetorius
math.NAcs.NAarXiv:2511.22000v22025Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li, Hongyang R. Zhang
cs.LGcs.CVstat.MLarXiv:2111.04578v22021Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann +14
cs.CVarXiv:2403.03206v12024Vision Transformer Finetuning Benefits from Non-Smooth Components
Ambroise Odonnat, Laetitia Chapel, Romain Tavenard +1
cs.LGcs.CVstat.MLarXiv:2602.06883v32026Differentiable Patch Selection for Image Recognition
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy +3
cs.CVcs.AIcs.LGarXiv:2104.03059v12021Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari +1
cs.LGcs.DCstat.MLarXiv:2007.01154v22020Secure Wireless Communication via Movable-Antenna Array
Guojie Hu, Qingqing Wu, Kui Xu +2
cs.ITeess.SParXiv:2311.07104v12023Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl +5
cs.LGphysics.comp-pharXiv:2109.05237v42021Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control
Jasan Zughaibi, Denis von Arx, Maurus Derungs +5
cs.ROcs.SYeess.SYarXiv:2511.18486v22025Learning Student-Friendly Teacher Networks for Knowledge Distillation
Dae Young Park, Moon-Hyun Cha, Changwook Jeong +2
cs.LGarXiv:2102.07650v42021MAPO: Mixed Advantage Policy Optimization
Wenke Huang, Quan Zhang, Yiyang Fang +11
cs.AIarXiv:2509.18849v32025UniVTG: Towards Unified Video-Language Temporal Grounding
Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen +5
cs.CVarXiv:2307.16715v22023Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji +3
cs.LGcs.AIcs.CVarXiv:2101.08482v22021Architectural mechanisms of a universal fault-tolerant quantum computer
Dolev Bluvstein, Alexandra A. Geim, Sophie H. Li +20
quant-phcond-mat.quant-gasphysics.atom-pharXiv:2506.20661v12025Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
Zhihang Yuan, Chengyu Yue, Long Huang +2
cs.CLcs.AIcs.LGarXiv:2601.13697v12026The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld, Yury Polyanskiy
cs.LGstat.MLarXiv:2004.14941v22020The Principles of Diffusion Models
Chieh-Hsin Lai, Yang Song, Dongjun Kim +2
cs.LGcs.AIcs.GRarXiv:2510.21890v32025Diffusion Feedback Helps CLIP See Better
Wenxuan Wang, Quan Sun, Fan Zhang +3
cs.CVarXiv:2407.20171v42024SimuQ: A Framework for Programming Quantum Hamiltonian Simulation with Analog Compilation
Yuxiang Peng, Jacob Young, Pengyu Liu +1
cs.PLquant-pharXiv:2303.02775v32023Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks
Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen +1
quant-phcs.LGarXiv:2509.14026v22025Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez +15
cs.AIcs.DBcs.LGarXiv:2003.02320v62020Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
Luca Barsellotti, Lorenzo Bianchi, Nicola Messina +5
cs.CVcs.AIcs.CLarXiv:2411.19331v32024Understanding Self-Predictive Learning for Reinforcement Learning
Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond +13
cs.LGcs.AIstat.MLarXiv:2212.03319v12022Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
Shizhan Gong, Yankai Jiang, Qi Dou +1
cs.CVarXiv:2506.02557v12025Muon Optimizes Under Spectral Norm Constraints
Lizhang Chen, Jonathan Li, Qiang Liu
cs.LGmath.OCstat.MLarXiv:2506.15054v22025What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang, Dean P. Foster, Sham M. Kakade
cs.LGcs.AImath.OCarXiv:2010.11895v12020Reconfiguring Wireless Environment via Intelligent Surfaces for 6G: Reflection, Modulation, and Security
Jindan Xu, Chau Yuen, Chongwen Huang +4
cs.ITeess.SPmath.ITarXiv:2208.10931v12022Certifiably Optimal Anisotropic Rotation Averaging
Carl Olsson, Yaroslava Lochman, Johan Malmport +1
cs.CVarXiv:2503.07353v22025SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction
Enrico Pallotta, Sina Mokhtarzadeh Azar, Shuai Li +2
cs.CVarXiv:2503.18933v12025This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
Ryan Webster, Julien Rabin, Loic Simon +1
cs.CVcs.AIarXiv:2107.06018v12021DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang, Jingyang Zhang, Hongliang Dong +6
cs.LGcs.CRstat.MLarXiv:2009.14720v22020Randomized matrix-free quadrature: unified and uniform bounds for stochastic Lanczos quadrature and the kernel polynomial method
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
math.NAcs.DScs.NAarXiv:2204.01941v32022SIRNN: A Math Library for Secure RNN Inference
Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli +4
cs.CRcs.LGcs.MSarXiv:2105.04236v12021Align Deep Features for Oriented Object Detection
Jiaming Han, Jian Ding, Jie Li +1
cs.CVarXiv:2008.09397v32020RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic Manipulation
Chuanrui Zhang, Zhengxian Wu, Guanxing Lu +2
cs.ROarXiv:2510.09036v22025Measuring In-Context Computation Complexity via Hidden State Prediction
Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber
cs.LGarXiv:2503.13431v12025Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
R. Thomas McCoy, Robert Frank, Tal Linzen
cs.CLarXiv:2001.03632v12020Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel, Satwik Bhattamishra, Navin Goyal
cs.CLarXiv:2103.07191v22021An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasia Koloskova, Tao Lin, Sebastian U. Stich
cs.DCcs.LGmath.OCarXiv:2202.03836v12022EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Bailin Li, Bowen Wu, Jiang Su +2
cs.CVarXiv:2007.02491v22020Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
Xianghao Yu, Dongfang Xu, Ying Sun +2
cs.ITeess.SParXiv:1912.01497v32019Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
Jai Bardhan, Patrik Drozdik, Josef Sivic +1
cs.ROcs.CVarXiv:2603.25685v22026Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin +2
cs.CVarXiv:1502.00743v12015