ExplainableML / BayesCap
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
☆49Updated last year
Related projects ⓘ
Alternatives and complementary repositories for BayesCap
- This is a offical PyTorch/GPU implementation of SupMAE.☆77Updated 2 years ago
- Hyperbolic Image Segmentation, CVPR 2022☆76Updated 2 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆25Updated 3 years ago
- ☆31Updated 7 months ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆77Updated 2 years ago
- ☆33Updated 2 years ago
- ☆25Updated 2 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆37Updated last year
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆26Updated last year
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆35Updated 2 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆38Updated 3 years ago
- project page: https://nv-tlabs.github.io/big-datasetgan/☆88Updated 2 years ago
- Visualizing representations with diffusion based conditional generative model.☆84Updated last year
- ☆18Updated last year
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆44Updated 2 years ago
- Code for the Paper Learning Hierarchy Aware Features for Reducing Mistake Severity, accepted in ECCV 2022☆14Updated last year
- This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …☆64Updated 2 years ago
- NeurIPS23 "Flow Factorized Representation Learning"☆33Updated 3 weeks ago
- B-cos Networks: Alignment is All we Need for Interpretability☆105Updated last year
- A compilation of network architectures for vision and others without usage of self-attention mechanism☆77Updated last year
- PyTorch code and pretrained weights for the UNIC models.☆27Updated 2 months ago
- Content-Adaptive Downsampling in Convolutional Neural Networks (CVPR 2023 Workshop on Efficient Deep Learning for Computer Vision)☆25Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 7 months ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 7 months ago
- The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without T…☆32Updated 7 months ago
- ☆49Updated 3 years ago
- An official implementation of Cl-InfoNCE☆14Updated 2 years ago
- Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"☆27Updated last year
- ☆12Updated 2 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆27Updated last year