jameszhou-gl / gpt-4v-distribution-shiftLinks
Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
☆37Updated 10 months ago
Alternatives and similar repositories for gpt-4v-distribution-shift
Users that are interested in gpt-4v-distribution-shift 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
- ☆17Updated last year
- A curated list of papers & resources linked to concept learning☆13Updated 2 years ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆18Updated last year
- Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"☆13Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated 11 months ago
- Official Implementation of LADS (Latent Augmentation using Domain descriptionS)☆51Updated 2 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago
- ☆13Updated 10 months ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆42Updated last year
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated 2 years ago
- ☆10Updated 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 4 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆41Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆57Updated 2 years ago
- ☆27Updated last year
- ☆31Updated 3 months ago
- LISA for ICML 2022☆50Updated 2 years ago
- ☆27Updated 2 years ago