alextamkin / active-learning-pretrained-models
Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, and Noah Goodman
☆11Updated 2 years ago
Alternatives and similar repositories for active-learning-pretrained-models
Users that are interested in active-learning-pretrained-models are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆30Updated 2 years ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago
- Official repository for Fourier model that can generate periodic signals☆10Updated 3 years ago
- [ICCVW2023] Robust Asymmetric Loss for Multi-Label Long-Tailed Learning☆18Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated last week
- ☆30Updated 3 years ago
- LISA for ICML 2022☆49Updated 2 years ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆33Updated 7 months ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆12Updated 10 months ago
- ☆16Updated 10 months ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- ☆45Updated 2 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆36Updated 6 months ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- ☆19Updated 3 years ago
- ☆18Updated 3 years ago
- "Learning Loss for Test-Time Augmentation (NeurIPS 2020)"☆9Updated 4 years ago
- ☆27Updated last year
- ☆26Updated 2 years ago
- ☆16Updated last year
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆41Updated last year
- [ICML 2022] This is the pytorch implementation of "Rethinking Attention-Model Explainability through Faithfulness Violation Test" (https:…☆19Updated 2 years ago
- ☆22Updated 11 months ago
- This repository contains the code for our ECCV 2022 paper on our "Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning".☆11Updated 2 years ago
- ☆26Updated 3 years ago