Fashion-MNIST
Canonical26papers using it
2024first seen
A drop-in MNIST replacement with 70,000 grayscale images across 10 clothing categories.
Papers using Fashion-MNIST (26)
- Typical Machine Learning Datasets as Low-Depth Quantum CircuitsGeometric Prototype Learning in Quantum Hilbert Space with Matrix Product StatesQuantum State Preparation via Neural Network Encoding in Quantum Machine LearningScaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image GenerationScalable Tensor Network Simulation for Quantum-Classical Dual KernelDifferentiable Architecture Search for Adversarially Robust Quantum Computer VisionQuantum Random Features: A Spectral Framework for Quantum Machine LearningScalable Memory Sharing in Photonic Quantum Memristors for Reservoir ComputingLiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural NetworksHattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine LearningEmbedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine LearningQuantum Reservoir GANSelective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image ClassificationTransfer entropy and O-information to detect grokking in tensor network multi-class classification problemsA Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine LearningAddressing the Current Challenges of Quantum Machine Learning through Multi-Chip EnsemblesHQCC: A Hybrid Quantum-Classical Classifier with Adaptive StructureSimulating Nonlinearity in Quantum Neural Networks While Mitigating
Barren PlateausQuantum Bayes Classifiers and Their Application in Image ClassificationQuantum Denoising Diffusion ModelsValidating Large-Scale Quantum Machine Learning: Efficient Simulation of
Quantum Support Vector Machines Using Tensor NetworksLet the Quantum Creep In: Designing Quantum Neural Network Models by
Gradually Swapping Out Classical ComponentsQuantum Deep Equilibrium ModelsQuantum-inspired activation functions and quantum Chebyshev-polynomial
networkQuantum Hamiltonian Embedding of Images for Data Reuploading ClassifiersQuantum Pointwise Convolution: A Flexible and Scalable Approach for
Neural Network Enhancement