DS3Lab / online-active-model-selection
Repository for "Online Active Model Selection for Pre-trained ML Classifiers"
☆15Updated 2 years ago
Alternatives and similar repositories for online-active-model-selection:
Users that are interested in online-active-model-selection are comparing it to the libraries listed below
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- ☆74Updated 5 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- Sketched SGD☆28Updated 4 years ago
- DeepEverest: a system for efficient DNN interpretation.☆12Updated last year
- Proximal Asynchronous SAGA☆12Updated 7 years ago
- ☆46Updated 5 years ago
- Hyperparameter tuning via uncertainty modeling☆47Updated 10 months ago
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Updated 6 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- Simple Hierarchical Count Sketch in Python☆20Updated 3 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 5 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 3 years ago
- Code for the signSGD paper☆82Updated 4 years ago
- ☆17Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Encodings for neural architecture search☆29Updated 3 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆28Updated 7 months ago
- Machine learning on serverless platform☆8Updated 2 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆33Updated 3 years ago
- ☆23Updated last year
- Distributed ML Optimizer☆30Updated 3 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 3 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Updated 2 years ago
- Some microbenchmarks and design docs before commencement☆12Updated 4 years ago
- Privacy-Preserving Bandits (MLSys'20)☆23Updated 2 years ago
- Research prototype of deletion efficient k-means algorithms☆23Updated 5 years ago
- DMALab's reading group slides and papers.☆17Updated 3 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 6 years ago