dlmacedo / distinction-maximization-lossLinks
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
☆44Updated 2 years ago
Alternatives and similar repositories for distinction-maximization-loss
Users that are interested in distinction-maximization-loss are comparing it to the libraries listed below
Sorting:
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆27Updated last year
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- ☆37Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆53Updated 4 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆61Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆108Updated 2 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆79Updated 2 years ago
- Includes additional materials for the following keras.io blog post.☆12Updated 4 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 6 months ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆24Updated 3 years ago
- PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679☆48Updated 3 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- ☆57Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Official code and data for NeurIPS 2023 paper "ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial …☆39Updated last year
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- Implementation of LogAvgExp for Pytorch☆36Updated 5 months ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆41Updated 2 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 2 years ago
- ☆26Updated 3 years ago