cvai-roig-lab / duality-diagram-similarity
Efficient solution to the initialization selection of DNNs in transfer learning using duality diagrams as a similarity measure framework.
☆10Updated 4 years ago
Alternatives and similar repositories for duality-diagram-similarity:
Users that are interested in duality-diagram-similarity are comparing it to the libraries listed below
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- ☆35Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 9 months ago
- ☆18Updated 3 years ago
- ☆29Updated 3 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- ☆44Updated 3 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆25Updated last year
- code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"☆26Updated 2 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- ☆24Updated 3 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- ☆30Updated 3 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆54Updated 4 years ago
- Code for PCA-OGD (AISTATS 2021)☆11Updated 3 years ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆14Updated 3 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 6 months ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆49Updated 3 years ago
- ☆10Updated 4 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆40Updated 3 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".☆32Updated 5 years ago