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
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- ☆18Updated last year
- Official repository for Fourier model that can generate periodic signals☆10Updated 3 years ago
- Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)☆40Updated 3 years ago
- ☆29Updated 2 years ago
- ☆36Updated 4 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago
- Learning Features with Parameter-Free Layers, ICLR 2022☆84Updated last year
- DCutMix official repo☆10Updated 2 years ago
- ☆16Updated 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
- ☆14Updated 2 years ago
- Official Pytorch Implementation of Unsupervised Representation Learning for Binary Networks by Joint Classifier Training (CVPR 2022)☆10Updated 3 years ago
- PyTorch code for "Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention" (WACV 2023)☆33Updated 2 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Updated last year
- ☆34Updated last week
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated last year
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 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
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 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
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- This is an official implementation of GRIT-VLP☆21Updated 2 years ago
- Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper☆10Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- [ICLR 2023] RC-MAE☆52Updated last year
- Domain Adaptation paper in various applications☆22Updated 5 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Perform…☆20Updated 2 years ago