aakashrkaku / intermdiate_layer_matter_ssl
The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
☆40Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for intermdiate_layer_matter_ssl
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated last year
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- ☆34Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Domain Adaptation☆23Updated 2 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- ☆58Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- ☆41Updated last year
- Simple but high-performing method for learning a policy of test-time augmentation☆38Updated last year
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆48Updated 2 years ago
- ☆31Updated 7 months ago
- Code to train the SimSiam model on cifar10 using PyTorch☆39Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆94Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆123Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- ☆46Updated 3 years ago
- PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf☆13Updated 4 years ago
- Label shift experiments☆15Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆32Updated last year
- ☆54Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 7 months ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated last year
- Repository providing a wide range of self-supervised pretrained models for computer vision tasks.☆61Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆155Updated 10 months ago
- ☆66Updated last year