google-research / head2toe
☆81Updated 6 months ago
Alternatives and similar repositories for head2toe:
Users that are interested in head2toe are comparing it to the libraries listed below
- ☆36Updated 4 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆76Updated 2 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆89Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 9 months ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- ☆107Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆82Updated 3 months ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆59Updated 11 months ago
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆33Updated 2 months ago
- LISA for ICML 2022☆47Updated last year
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 2 years ago
- ☆44Updated 2 years ago
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆55Updated last year
- ☆152Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆147Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆38Updated 3 years ago
- ☆63Updated 2 years ago
- [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https:…☆19Updated 2 years ago
- We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances…☆46Updated 3 years ago
- ☆127Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago