tkasarla / max-separation-as-inductive-biasLinks
Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
☆30Updated 2 years ago
Alternatives and similar repositories for max-separation-as-inductive-bias
Users that are interested in max-separation-as-inductive-bias are comparing it to the libraries listed below
Sorting:
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆42Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- ☆36Updated 3 years ago
- ☆57Updated 4 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 3 years ago
- ☆58Updated 2 years ago
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆50Updated 3 years ago
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆36Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 9 months ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆29Updated last year
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 3 years ago
- This repository contains the code for our ECCV 2022 paper on our "Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning".☆12Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆133Updated 2 years ago
- Robust Optimal Transport code☆43Updated 3 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆23Updated 3 years ago