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Found 7 papers, 4 papers with code
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
Real-world graphs naturally exhibit hierarchical or cyclical structures that are unfit for the typical Euclidean space.
Mixed-Curvature Transformers for Graph Representation Learning papersreview
Real-world graphs naturally exhibit hierarchical or cyclical structures that are unfit for the typical Euclidean space.
Feature Unlearning for Pre-trained GANs and VAEs
We tackle the problem of feature unlearning from a pre-trained image generative model: GANs and VAEs.
Hyperbolic VAE via Latent Gaussian Distributions
We propose a Gaussian manifold variational auto-encoder (GM-VAE) whose latent space consists of a set of Gaussian distributions.
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
We present a rotated hyperbolic wrapped normal distribution (RoWN), a simple yet effective alteration of a hyperbolic wrapped normal distribution (HWN).
Robust Deep Learning from Crowds with Belief Propagation
Crowdsourcing systems enable us to collect large-scale dataset, but inherently suffer from noisy labels of low-paid workers.
Semi-supervised Image Classification with Grad-CAM Consistency
Consistency training, which exploits both supervised and unsupervised learning with different augmentations on image, is an effective method of utilizing unlabeled data in semi-supervised learning (SSL) manner.
