OSU-MLB / Fine-Tuning-Is-Fine-If-CalibratedLinks
Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024
☆20Updated 9 months ago
Alternatives and similar repositories for Fine-Tuning-Is-Fine-If-Calibrated
Users that are interested in Fine-Tuning-Is-Fine-If-Calibrated are comparing it to the libraries listed below
Sorting:
- [CVPR'25 (Highlight)] Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition☆46Updated 7 months ago
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)☆21Updated 2 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆49Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆51Updated last year
- Revisiting Test Time Adaptation Under Online Evaluation☆35Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆102Updated 6 months ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆36Updated 2 years ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆124Updated 2 years ago
- CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis☆18Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated 2 years ago
- ☆15Updated 3 years ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆47Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated 2 years ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆109Updated 2 years ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆70Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆60Updated 10 months ago
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆42Updated 2 years ago
- ☆55Updated 2 years ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33Updated 2 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆81Updated 2 years ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆112Updated last year
- [ICCV 2023] Black Box Few-Shot Adaptation for Vision-Language models☆26Updated last year
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆35Updated 2 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆106Updated 3 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆108Updated 3 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆87Updated 2 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…☆25Updated last year
- [CVPR 2023] Learning Attention as Disentangler for Compositional Zero-shot Learning☆39Updated 2 years ago