Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

25 August 2017

Papers citing "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms"

50 / 166 papers shown

Title
SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training Pingchuan Ma Ziang Yin Qi Jing Zhengqi Gao Nicholas Gangi ... Tsung-Wei Huang Z. Huang Duane S. Boning Yu Yao Jiaqi Gu AI4CE 26 0 0 23 May 2025
Generative Distribution Embeddings Nic Fishman Gokul Gowri Peng Yin Jonathan Gootenberg Omar Abudayyeh SyDa 448 0 0 23 May 2025
Bidirectional Variational Autoencoders Bart Kosko Olaoluwa Adigun BDL 43 0 0 21 May 2025
Large Language Models Implicitly Learn to See and Hear Just By Reading Prateek Verma Mert Pilanci 52 0 0 20 May 2025
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 54 0 0 20 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 50 0 0 16 May 2025
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen Huan-Hsin Tseng Shinjae Yoo 78 0 0 13 May 2025
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 49 0 0 10 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang Zhan Qin Peng Kuang Kui Ren AAML MU 61 0 0 10 May 2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 63 0 0 09 May 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks Xuyang Wang Siyuan Duan Qizhi Li Guiduo Duan Yuan Sun Dezhong Peng AAML EDL 111 0 0 07 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 86 0 0 05 May 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning Zhiyong Jin Runhua Xu Chong Li Yunxing Liu Jianxin Li AAML FedML 72 0 0 30 Apr 2025
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data Seunghyun Lee Omid Tavallaie Shuaijun Chen Kanchana Thilakarathna Suranga Seneviratne A. N. Toosi Albert Y. Zomaya 68 0 0 11 Apr 2025
Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks Erin Carson Xinye Chen 80 0 0 10 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 56 0 0 05 Apr 2025
Scalable Robust Bayesian Co-Clustering with Compositional ELBOs Ashwin Vinod Chandrajit Bajaj BDL 91 0 0 05 Apr 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 84 0 0 25 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 71 0 0 19 Mar 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 107 3 0 18 Mar 2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation Justus Westerhoff Golzar Atefi Mario Koddenbrock Alexei Figueroa Alexander Loser Erik Rodner Felix Alexader Gers OffRL 79 0 0 18 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 344 1 0 14 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 176 2 0 11 Mar 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values Pranoy Panda Siddharth Tandon V. Balasubramanian TDI 83 0 0 09 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 96 1 0 08 Mar 2025
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 105 0 0 06 Mar 2025
Adversarial Robustness in Parameter-Space Classifiers Tamir Shor Ethan Fetaya Chaim Baskin A. Bronstein AAML OOD 374 0 0 27 Feb 2025
Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks S. Sunada T. Niiyama Kazutaka Kanno Rin Nogami André Röhm Takato Awano Atsushi Uchida AI4CE 85 1 0 26 Feb 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 112 0 0 24 Feb 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study Ayana Moshruba Ihsen Alouani Maryam Parsa AAML 69 3 0 24 Feb 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 106 0 0 24 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 138 8 0 20 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 94 0 0 20 Feb 2025
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 94 0 0 18 Feb 2025
One-bit Compressed Sensing using Generative Models Swatantra Kafle Geethu Joseph P. Varshney DiffM GAN 93 6 0 18 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 104 8 0 18 Feb 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 115 0 0 17 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 100 0 0 17 Feb 2025
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos Dayal Singh Kalra Tianyu He M. Barkeshli 86 4 0 17 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 101 6 0 17 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 52 2 0 08 Feb 2025
Quantifying Correlations of Machine Learning Models Yuanyuan Li Neeraj Sarna Yang Lin 114 0 0 06 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 108 0 0 01 Feb 2025
Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected Yingtao Zhang Jialin Zhao Wenjing Wu Wenjing Wu Ziheng Liao Umberto Michieli C. Cannistraci 84 1 0 31 Jan 2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices Furkan Bagci Busra Tegin M. Kazemi T. Duman 85 0 0 30 Jan 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 112 1 0 28 Jan 2025
Path Analysis for Effective Fault Localization in Deep Neural Networks Soroush Hashemifar Saeed Parsa A. Kalaee AAML 53 0 0 28 Jan 2025
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers Cyan Subhra Mishra Deeksha Chaudhary Jack Sampson Mahmut Taylan Knademir Chita R. Das 74 0 0 28 Jan 2025
Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Ashim Dahal Saydul Akbar Murad Nick Rahimi 61 0 0 27 Jan 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 87 0 0 24 Jan 2025