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
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 58 1 0 22 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation Haoran Xu Jiaze Li Wanyi Wu Hao Ren FedML 70 1 0 20 Jan 2025
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras Chae Young Lee Maxwell Fite Tejus Rao Sara Achour Zerina Kapetanovic VLM 57 1 0 17 Jan 2025
Flexible task abstractions emerge in linear networks with fast and bounded units Kai Sandbrink Jan P. Bauer A. Proca Andrew M. Saxe Christopher Summerfield Ali Hummos 77 2 0 17 Jan 2025
Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins Ilker Oguz Louis J. E. Suter J. Hsieh Mustafa Yildirim Niyazi Ulaş Dinç Christophe Moser D. Psaltis 87 2 0 14 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 48 0 0 12 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 136 2 0 12 Jan 2025
Key-value memory in the brain Samuel J. Gershman Ila Fiete Kazuki Irie 62 7 0 06 Jan 2025
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning Fangchen Yu Ruilizhen Hu Yidong Lin Yuqi Ma Zhenghao Huang Wenye Li 62 0 0 03 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 93 0 0 31 Dec 2024
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation Lujia Zhong Shuo Huang Yonggang Shi 82 0 0 31 Dec 2024
A Unified Analysis of Federated Learning with Arbitrary Client Participation Shiqiang Wang Mingyue Ji FedML 66 55 0 31 Dec 2024
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference Zihao Zheng Yan Liang Jiayu Chen Peng Zhou Xiang Chen Yunxin Liu 135 0 0 18 Dec 2024
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 400 0 0 18 Dec 2024
Streamlining Prediction in Bayesian Deep Learning Marcus Klasson Talal Alrawajfeh Mikko Heikkilä Martin Trapp UQCV BDL 127 2 0 27 Nov 2024
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 119 14 0 26 Nov 2024
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 120 0 0 23 Nov 2024
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds Mehdi Hennequin Abdelkrim Zitouni K. Benabdeslem H. Elghazel Yacine Gaci 43 0 0 09 Nov 2024
Learning Mixtures of Experts with EM: A Mirror Descent Perspective Quentin Fruytier Aryan Mokhtari Sujay Sanghavi MoE 51 0 0 09 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 143 3 0 03 Nov 2024
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications Omar Erak Omar Alhussein Wen Tong 92 0 0 30 Oct 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Yuante Li FedML 64 0 0 28 Oct 2024
Residual Random Neural Networks M. Andrecut 36 0 0 25 Oct 2024
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices Chanwoo Chun SueYeon Chung Daniel D. Lee 41 1 0 23 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 151 1 0 21 Oct 2024
Differentiable Weightless Neural Networks Alan T. L. Bacellar Zachary Susskind Mauricio Breternitz Jr. E. John L. John P. Lima F. M. G. França 64 4 0 14 Oct 2024
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin Peter Whalley Neil K. Chada Benedict Leimkuhler BDL 67 4 0 14 Oct 2024
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning Chao Feng Hongjie Guan Alberto Huertas Celdrán Jan von der Assen Gérome Bovet Burkhard Stiller FedML 53 1 0 10 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 55 3 0 09 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models Xiang Li Pin-Yu Chen Wenqi Wei 58 2 0 06 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 84 7 0 04 Oct 2024
FAN: Fourier Analysis Networks Yihong Dong Ge Li Yongding Tao Xue Jiang Kechi Zhang Jia Li Jing Su Jing Su Jun Zhang Jingjing Xu AI4TS 67 5 0 03 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 50 0 0 03 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 56 0 0 02 Oct 2024
Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich Tim Jahn Michael Quellmalz 36 5 0 02 Oct 2024
Deep activity propagation via weight initialization in spiking neural networks Aurora Micheli Olaf Booij Jan van Gemert Nergis Tömen 50 0 0 01 Oct 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori Stefano Sarao Mannelli Francesca Mignacco 94 3 0 26 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 77 5 0 18 Sep 2024
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 94 1 0 17 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 76 0 0 16 Sep 2024
RandALO: Out-of-sample risk estimation in no time flat Parth Nobel Daniel LeJeune Emmanuel J. Candès 93 3 0 15 Sep 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs Gokul Bhusal Kevin Miller Ekaterina Merkurjev 68 1 0 14 Sep 2024
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 60 10 0 12 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 104 0 0 09 Sep 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition Chen Hu Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma FedML 97 0 0 30 Aug 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 100 1 0 26 Aug 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 92 0 0 26 Aug 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 74 6 0 25 Aug 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 78 7 0 21 Aug 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 43 0 0 12 Aug 2024