U-Sharma / NeuralScaleIDLinks
☆12Updated 5 years ago
Alternatives and similar repositories for NeuralScaleID
Users that are interested in NeuralScaleID are comparing it to the libraries listed below
Sorting:
- ☆21Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Updated 5 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 5 years ago
- ☆12Updated 6 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆66Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Updated 7 years ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Updated 6 years ago
- ☆24Updated 8 months ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 5 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆51Updated 7 months ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- Reproducible code for Augmentation paper☆17Updated 7 years ago
- ☆50Updated 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
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆17Updated 4 years ago
- ☆37Updated 3 years ago
- ☆25Updated last year
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago