alextamkin / active-learning-pretrained-modelsLinks
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:
- LISA for ICML 2022☆51Updated 2 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- ☆25Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Updated 2 months ago
- ☆38Updated 5 years ago
- Official repository for Fourier model that can generate periodic signals☆10Updated 3 years ago
- ☆38Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"☆22Updated 8 months ago
- [ICML 2022] Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder☆24Updated last year
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- ☆46Updated 2 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆37Updated last year
- ☆31Updated 4 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆25Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Updated last year
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆14Updated 3 years ago
- Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"☆35Updated last year
- Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"☆73Updated last year
- C-Mixup for NeurIPS 2022☆73Updated last year
- Official Pytorch implementation of "Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning (NeurIPS 2021)☆37Updated 4 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- ☆17Updated last year
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆68Updated 2 years ago