SOTAVerified

Rotated MNIST

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 41 papers

TitleStatusHype
What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold—0
GDO: Gradual Domain Osmosis—0
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel TheoryCode0
Unsupervised discovery of the shared and private geometry in multi-view data—0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
Progressive Conservative Adaptation for Evolving Target Domains—0
Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs)—0
Group Invariant Global Pooling—0
Artificial Neuronal Ensembles with Learned Context Dependent GatingCode0
Learning unfolded networks with a cyclic group structureCode0
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal MomentsCode0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge—0
Transform-Invariant Convolutional Neural Networks for Image Classification and Search—0
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration—0
Learning Augmentation Distributions using Transformed Risk Minimization—0
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
Learning Partial Equivariances from DataCode1
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional NetworkCode1
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction—0
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
PDO-eConvs: Partial Differential Operator Based Equivariant ConvolutionsCode1
Domain Generalization using Causal MatchingCode1
Invariant Integration in Deep Convolutional Feature Space—0
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Steerable Filter CNNTest error0.71—Unverified
2E2FCNN (D16 |5 C16)Test error0.68—Unverified
3Sim2-CNNTest error0.59—Unverified