akhilgadi / Dimension-Reduction-on-MNIST
A Dimension reduction case resolution with the help of PCA and t-SNE
☆11Updated 5 years ago
Alternatives and similar repositories for Dimension-Reduction-on-MNIST:
Users that are interested in Dimension-Reduction-on-MNIST are comparing it to the libraries listed below
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- ☆44Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 9 months ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆22Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 3 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- A Pytorch Implementation of the Beta-VAE☆41Updated 5 years ago
- ☆12Updated 3 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Updated 4 years ago
- Code for the paper "Learning to Generate Noise for Multi-Attack Robustness" (ICML 2021)☆9Updated 3 years ago
- ☆45Updated 5 years ago
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Updated 5 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks☆60Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- ☆36Updated 2 years ago
- Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representa…☆37Updated 3 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances…☆45Updated 3 years ago
- ☆26Updated 4 years ago
- Categorical Variational Auto-encoders in PyTorch☆21Updated 3 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- ☆11Updated 2 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆50Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- [CogSci'21] Study of human inductive biases in CNNs and Transformers.☆43Updated 3 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 3 years ago
- Pruning applied to Facial Recognition.☆15Updated 5 years ago