google-research / head2toeLinks
☆81Updated 10 months ago
Alternatives and similar repositories for head2toe
Users that are interested in head2toe are comparing it to the libraries listed below
Sorting:
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- ☆36Updated 4 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated 2 months ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- ☆107Updated last year
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆77Updated 2 years ago
- ☆45Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆73Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 3 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- ☆106Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆155Updated 3 years ago
- Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models☆34Updated 2 weeks ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆148Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- ☆34Updated last week
- We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances…☆47Updated 3 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆39Updated 4 years ago
- ☆95Updated 2 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago
- LISA for ICML 2022☆49Updated 2 years ago