kakaobrain / learning-loss-for-tta
"Learning Loss for Test-Time Augmentation (NeurIPS 2020)"
☆9Updated 4 years ago
Alternatives and similar repositories for learning-loss-for-tta
Users that are interested in learning-loss-for-tta are comparing it to the libraries listed below
Sorting:
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- Official repository for Fourier model that can generate periodic signals☆10Updated 3 years ago
- ☆16Updated last year
- ☆18Updated last year
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Updated 2 years ago
- Official Pytorch Implementation of Unsupervised Representation Learning for Binary Networks by Joint Classifier Training (CVPR 2022)☆10Updated 3 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- [Findings of ACL-2023] This is the official implementation of On the Difference of BERT-style and CLIP-style Text Encoders.☆14Updated last year
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)☆40Updated 3 years ago
- ☆14Updated 3 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆24Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆36Updated 4 years ago
- Official PyTorch implementation of "Cross-Domain Ensemble Distillation for Domain Generalization" (ECCV 2022)☆24Updated 5 months ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆42Updated 4 years ago
- Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning☆11Updated 4 months ago
- Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"☆11Updated last year
- ☆26Updated 3 years ago
- An unofficial PyTorch implementation of Unsupervised Data Augmentation☆15Updated 3 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- Learning Features with Parameter-Free Layers, ICLR 2022☆84Updated 2 years ago
- ☆30Updated 2 years ago
- PyTorch code for "Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention" (WACV 2023)☆33Updated 2 years ago
- ☆17Updated 4 years ago
- ☆34Updated 3 weeks ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- Bag of MLP☆20Updated 3 years ago