OSU-MLB / Fine-Tuning-Is-Fine-If-CalibratedLinks
Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024
☆20Updated 6 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☆45Updated 4 months ago
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)☆21Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆103Updated 2 years ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated 2 years ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33Updated 2 years ago
- This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularizatio…☆33Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- Revisiting Test Time Adaptation Under Online Evaluation☆33Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 4 months ago
- Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…☆45Updated 2 years ago
- CIFAR-10-Warehouse: Towards Broad and More Realistic Testbeds in Model Generalization Analysis☆18Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆57Updated 7 months ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆44Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆39Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆117Updated last year
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆13Updated last year
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆51Updated 2 years ago
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆103Updated 2 years ago
- ☆25Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆30Updated 6 months ago
- Towards Unified and Effective Domain Generalization☆32Updated last year
- ☆54Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 9 months ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆43Updated last year
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆89Updated last year
- Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"☆41Updated 2 years ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆108Updated last year
- ☆15Updated 3 years ago