VamshiTeja / SMDL
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
☆21Updated 2 years ago
Alternatives and similar repositories for SMDL:
Users that are interested in SMDL are comparing it to the libraries listed below
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- ☆34Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- ☆21Updated 2 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆58Updated 3 years ago
- ☆26Updated 4 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- ☆40Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- ☆53Updated 6 months ago
- Learning Deep Disentangled Embeddings with the F-Statistic Loss (NIPS 2018)☆10Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 4 years ago
- A neural network architecture for prediction on sets☆22Updated 2 years ago
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- ☆34Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- ☆82Updated last year
- Meta-learning learning rates with higher☆12Updated 5 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