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

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

25 August 2017
Han Xiao
Kashif Rasul
Roland Vollgraf
ArXivPDFHTML

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

50 / 166 papers shown
Title
On the Relationship Between Monotone and Squared Probabilistic Circuits
On the Relationship Between Monotone and Squared Probabilistic Circuits
Benjie Wang
Guy Van den Broeck
TPM
80
5
0
01 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation
Private Collaborative Edge Inference via Over-the-Air Computation
Selim F. Yilmaz
Burak Hasircioglu
Li Qiao
Deniz Gunduz
FedML
99
1
0
30 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
88
1
0
13 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
Sizai Hou
Songze Li
Tayyebeh Jahani-Nezhad
Giuseppe Caire
FedML
83
2
0
12 Jul 2024
Expressivity of Neural Networks with Random Weights and Learned Biases
Expressivity of Neural Networks with Random Weights and Learned Biases
Ezekiel Williams
Avery Hee-Woon Ryoo
Thomas Jiralerspong
Alexandre Payeur
M. Perich
Luca Mazzucato
Guillaume Lajoie
85
2
0
01 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
89
1
0
01 Jul 2024
A Matrix Product State Model for Simultaneous Classification and Generation
A Matrix Product State Model for Simultaneous Classification and Generation
Alex Mossi
Bojan Žunkovic
Kyriakos Flouris
46
4
0
25 Jun 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
G. Gala
Cassio de Campos
Antonio Vergari
Erik Quaeghebeur
TPM
81
4
0
10 Jun 2024
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Hoang-Quan Nguyen
Xuan-Bac Nguyen
Samuel Yen-Chi Chen
Hugh Churchill
Nicholas Borys
Samee U. Khan
Khoa Luu
DiffM
68
5
0
02 Jun 2024
Semiring Activation in Neural Networks
Semiring Activation in Neural Networks
B. Smets
Peter D. Donker
Jim W. Portegies
LLMSV
47
0
0
29 May 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
60
1
0
29 May 2024
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Jeonghwan Cheon
Sang Wan Lee
Se-Bum Paik
OOD
336
2
0
27 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Chaosheng Dong
Haibo Yang
FedML
83
3
0
24 May 2024
Mixture of Experts Meets Prompt-Based Continual Learning
Mixture of Experts Meets Prompt-Based Continual Learning
Minh Le
An Nguyen
Huy Nguyen
Trang Nguyen
Trang Pham
L. Ngo
Nhat Ho
CLL
71
8
0
23 May 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
Yi-Shan Wu
Yijie Zhang
Badr-Eddine Chérief-Abdellatif
Yevgeny Seldin
66
2
0
23 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip Torr
Adel Bibi
AAML
73
0
0
22 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
91
6
0
19 May 2024
Generative modeling through internal high-dimensional chaotic activity
Generative modeling through internal high-dimensional chaotic activity
Samantha J. Fournier
Pierfrancesco Urbani
63
1
0
17 May 2024
QUACK: Quantum Aligned Centroid Kernel
QUACK: Quantum Aligned Centroid Kernel
Kilian Tscharke
Sebastian Issel
Pascal Debus
45
3
0
01 May 2024
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
Bin Gao
Yan Yang
Ya-xiang Yuan
64
2
0
04 Apr 2024
Genetically programmable optical random neural networks
Genetically programmable optical random neural networks
Bora Çarpinlioglu
Bahrem Serhat Danis
70
5
0
19 Mar 2024
Useful Compact Representations for Data-Fitting
Useful Compact Representations for Data-Fitting
Johannes J Brust
29
0
0
18 Mar 2024
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Sediola Ruko
Briland Hitaj
Luigi V. Mancini
Fernando Perez-Cruz
67
5
0
06 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
85
0
0
05 Mar 2024
Self Supervised Correlation-based Permutations for Multi-View Clustering
Self Supervised Correlation-based Permutations for Multi-View Clustering
Ran Eisenberg
Jonathan Svirsky
Ofir Lindenbaum
45
2
0
26 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
71
3
0
13 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
Akira Ito
Masanori Yamada
Atsutoshi Kumagai
MoMe
83
5
0
06 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran
Antoine Godichon-Baggioni
Adeline Fermanian
Sylvain Le Corff
73
1
0
05 Feb 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Jan-Philipp von Bassewitz
Sebastian Kaltenbach
Petros Koumoutsakos
AI4CE
71
2
0
01 Feb 2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Angus Dempster
Geoffrey I. Webb
Daniel F. Schmidt
46
0
0
28 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
71
5
0
22 Jan 2024
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Ilana Sebag
Muni Sreenivas Pydi
Jean-Yves Franceschi
Alain Rakotomamonjy
Mike Gartrell
Jamal Atif
Alexandre Allauzen
33
2
0
13 Dec 2023
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Mohammad Junayed Hasan
M.R.C. Mahdy
54
2
0
23 Nov 2023
DP-SGD with weight clipping
DP-SGD with weight clipping
Antoine Barczewski
Jan Ramon
43
1
0
27 Oct 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Kamila Zaman
Alberto Marchisio
Muhammad Abdullah Hanif
Mohamed Bennai
55
26
0
16 Oct 2023
On Continuity of Robust and Accurate Classifiers
On Continuity of Robust and Accurate Classifiers
Ramin Barati
Reza Safabakhsh
Mohammad Rahmati
AAML
39
1
0
29 Sep 2023
Out-of-distribution detection using normalizing flows on the data manifold
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
65
0
0
26 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
76
3
0
20 Aug 2023
Variational Positive-incentive Noise: How Noise Benefits Models
Variational Positive-incentive Noise: How Noise Benefits Models
Hongyuan Zhang
Si-Ying Huang
Yubin Guo
Xuelong Li
49
9
0
13 Jun 2023
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
Qin Xie
Qinghua Zhang
Shuyin Xia
Fan Zhao
Chengying Wu
Guoyin Wang
Weiping Ding
46
13
0
29 May 2023
Emergent representations in networks trained with the Forward-Forward algorithm
Emergent representations in networks trained with the Forward-Forward algorithm
Niccolo Tosato
Lorenzo Basile
Emanuele Ballarin
Giuseppe de Alteriis
Alberto Cazzaniga
A. Ansuini
41
9
0
26 May 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for
  Adversary Defense
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
Jingyuan Wang
Yufan Wu
Mingxuan Li
Xin Lin
Junjie Wu
Chao Li
AAML
36
13
0
14 Apr 2023
Self-Supervised Siamese Autoencoders
Self-Supervised Siamese Autoencoders
Friederike Baier
Sebastian Mair
Samuel G. Fadel
SSL
62
4
0
05 Apr 2023
Learning Confident Classifiers in the Presence of Label Noise
Learning Confident Classifiers in the Presence of Label Noise
Asma Ahmed Hashmi
Aigerim Zhumabayeva
Nikita Kotelevskii
A. Agafonov
Mohammad Yaqub
Maxim Panov
Martin Takávc
NoLa
109
2
0
02 Jan 2023
FedCC: Robust Federated Learning against Model Poisoning Attacks
FedCC: Robust Federated Learning against Model Poisoning Attacks
Hyejun Jeong
Hamin Son
Seohu Lee
Jayun Hyun
Tai-Myoung Chung
FedML
86
6
0
05 Dec 2022
Improving Multi-task Learning via Seeking Task-based Flat Regions
Improving Multi-task Learning via Seeking Task-based Flat Regions
Hoang Phan
Lam C. Tran
Ngoc N. Tran
Nhat Ho
Tuan Truong
Qi Lei
Nhat Ho
Dinh Q. Phung
Trung Le
133
11
0
24 Nov 2022
Communication-Efficient Federated Learning With Data and Client Heterogeneity
Communication-Efficient Federated Learning With Data and Client Heterogeneity
Hossein Zakerinia
Shayan Talaei
Giorgi Nadiradze
Dan Alistarh
FedML
51
8
0
20 Jun 2022
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke
Marco Heyden
Edouard Fouché
Klemens Bohm
Klemens Böhm
128
1
0
25 May 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
61
48
0
09 Mar 2022
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Hanrui Wang
Zi-Chen Li
Jiaqi Gu
Yongshan Ding
David Z. Pan
Song Han
51
53
0
26 Feb 2022
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