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• Exploring Stroke-Level Modifications for Scene Text Editing

  Yadong Qu, Qingfeng Tan, Hongtao Xie, Jianjun Xu, YuXin Wang, Yongdong Zhang

  2119-2127

  2023-06-26

• Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection

  Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi

  1266-1273

  2020-04-03

• The Unreasonable Effectiveness of Deep Evidential Regression

  Nis Meinert, Jakob Gawlikowski, Alexander Lavin

  9134-9142

  2023-06-26

• A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract)

  Sarah Liaw

  29410-29411

  2025-04-11

• Building Deep Networks on Grassmann Manifolds

  Zhiwu Huang, Jiqing Wu, Luc Van Gool

  2018-04-29

• Set-Valued Sensitivity Analysis of Deep Neural Networks

  Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

  21304-21311

  2025-04-11

• Full Bayesian Significance Testing for Neural Networks

  Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He

  8841-8849

  2024-03-24

• Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees

  Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh

  8209-8216

  2021-05-18

• Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

  Chao Li, Hao Xu, Kun He

  8518-8526

  2023-06-26

• Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction

  Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu

  2339-2347

  2024-03-24

• Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes

  Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

  4477-4484

  2020-04-03

• Inter-Class Angular Loss for Convolutional Neural Networks

  Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

  3894-3901

  2019-07-17

• Training CNNs With Normalized Kernels

  Mete Ozay, Takayuki Okatani

  2018-04-29

• 3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition

  Yuanmin Huang, Wenxuan Li, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang

  5194-5202

  2026-03-14

• MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction

  Zeming Lin, Jack Lanchantin, Yanjun Qi

  2016-02-21

• Random-Radius Ball Method for Estimating Closeness Centrality

  Wataru Inariba, Takuya Akiba, Yuichi Yoshida

  2017-02-10

• Layout Generation as Intermediate Action Sequence Prediction

  Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He

  10762-10770

  2023-06-26

• Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning

  Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel

  15278-15285

  2021-05-18

• Linearly Replaceable Filters for Deep Network Channel Pruning

  Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim

  8021-8029

  2021-05-18

• Graph Structure Learning on User Mobility Data for Social Relationship Inference

  Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong

  4578-4586

  2023-06-26

• Maniflat3D: Learning 3D Geometry Through Planar Representations from Multi-Layer Unwrapping

  Zijian Cao, Dayou Zhang, Zeyuan Liu, Zhicheng Liang, Fangxin Wang

  2680-2688

  2026-03-14

• Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)

  Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

  23712-23713

  2024-03-24

• On the Hardness of Training Deep Neural Networks Discretely

  Ilan Doron-Arad

  16363-16371

  2025-04-11

• Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

  Xin Ding, Yongwei Wang, Zuheng Xu

  11802-11810

  2024-03-24

• Improving Generalization of Deep Neural Networks by Optimum Shifting

  Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang

  10870-10878

  2025-04-11