swyoon / normalized-autoencoders
The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).
☆42Updated last year
Alternatives and similar repositories for normalized-autoencoders:
Users that are interested in normalized-autoencoders are comparing it to the libraries listed below
- Neural Bootstrapper (NeuBoots)☆25Updated 3 years ago
- Pytorch implementation of neural processes and variants☆27Updated 5 months ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 2 years ago
- ☆29Updated last year
- Official Pytorch implementation of C3-GAN (Spotlight at ICLR 2022)☆127Updated 2 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆173Updated 5 months ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆13Updated last year
- Learning Features with Parameter-Free Layers, ICLR 2022☆85Updated last year
- read 1 paper everyday (only weekday)☆54Updated 3 years ago
- PyTorch implementation of FFN : "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (NeurIPS2020)"☆20Updated 2 years ago
- ☆185Updated 2 years ago
- Paper Today I Read☆21Updated 2 weeks ago
- This is a repository for the paper "Barcode: Topological Data Analysis-motivated Generative Model Evaluation Metric"☆13Updated last year
- A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"☆50Updated 2 years ago
- A minimal implementation of Gaussian process regression in PyTorch☆61Updated 2 years ago
- ☆128Updated 2 years ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆140Updated 3 years ago
- Contrastive self-supervised learning using Rényi divergence☆12Updated 2 years ago
- [ICLR'22] Multi-Task Neural Processes☆8Updated last year
- Official Implementation of SWAD (NeurIPS 2021)☆158Updated 2 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Updated 2 years ago
- Information and Materials for the Deep Learning Course☆30Updated 2 years ago
- Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)☆13Updated 3 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- paper review with codes☆18Updated 3 years ago
- ☆13Updated 4 years ago
- Computer vision paper reviews written by KAIST AI students☆44Updated 2 years ago
- Reviews of papers on ML, DL, Statistics, Optimization, etc.☆12Updated 3 years ago
- Belief matching framework official implementation☆39Updated last year
- ☆91Updated 2 years ago