ZIYU-DEEP / Awesome-Autoencoders-for-Representation-Learning
A curated list on the literature of autoencoders for representation learning.
☆30Updated 4 years ago
Alternatives and similar repositories for Awesome-Autoencoders-for-Representation-Learning:
Users that are interested in Awesome-Autoencoders-for-Representation-Learning are comparing it to the libraries listed below
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Updated 3 years ago
- Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)☆26Updated 4 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (IC…☆38Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- ☆38Updated 3 years ago
- ☆17Updated 2 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- ☆35Updated last year
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆55Updated 4 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated 2 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆39Updated 3 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods☆23Updated 4 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆78Updated 2 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆50Updated 6 months ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆16Updated 3 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Code for "Interpretable Image Recognition with Hierarchical Prototypes"☆18Updated 5 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30Updated 5 years ago