MLI-lab / early_stopping_double_descentLinks
Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''
☆15Updated 3 years ago
Alternatives and similar repositories for early_stopping_double_descent
Users that are interested in early_stopping_double_descent are comparing it to the libraries listed below
Sorting:
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- A simple algorithm to identify and correct for label shift.☆22Updated 7 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- ☆65Updated last year
- ☆37Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆41Updated 4 years ago
- ☆32Updated 4 years ago
- ☆26Updated 5 years ago
- ☆62Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆101Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- ☆12Updated 6 years ago
- ☆43Updated 7 years ago
- Label shift experiments☆17Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆35Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- ☆31Updated 4 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 6 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- Python package for evaluating model calibration in classification☆20Updated 6 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆51Updated 4 years ago
- ☆20Updated 5 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 4 years ago