kakaobrain / learning-loss-for-tta
"Learning Loss for Test-Time Augmentation (NeurIPS 2020)"
☆9Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for learning-loss-for-tta
- ☆17Updated last year
- ☆13Updated 2 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- ☆36Updated 4 years ago
- PyTorch code for "Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention" (WACV 2023)☆32Updated last year
- ☆21Updated last year
- Gradient-based Hyperparameter Optimization Over Long Horizons☆12Updated 3 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- ☆15Updated last year
- ☆29Updated 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
- ☆21Updated last year
- Weighted Training for Cross-Task Learning☆15Updated last year
- Official Pytorch Implementation of Unsupervised Representation Learning for Binary Networks by Joint Classifier Training (CVPR 2022)☆10Updated 2 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- ☆25Updated 3 years ago
- [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…☆23Updated last year
- Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning☆11Updated 11 months ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 2 years ago
- An official implementation of Cl-InfoNCE☆14Updated 2 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 2 years ago
- Fine-grained Retrieval Prompt Tuning☆2Updated 4 months ago
- ImageNet-12k subset of ImageNet-21k (fall11)☆20Updated last year
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- ☆21Updated 2 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆11Updated 5 months ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆28Updated last year