ajiljalal / code-cs-fairnessLinks
☆19Updated 2 years ago
Alternatives and similar repositories for code-cs-fairness
Users that are interested in code-cs-fairness are comparing it to the libraries listed below
Sorting:
- ☆51Updated 4 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆102Updated 5 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆45Updated 3 years ago
- ☆54Updated 4 years ago
- ☆25Updated 4 years ago
- [ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen☆26Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆38Updated 4 years ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Updated 5 years ago
- [ECCV2022] Source Code for "Improving GANs for Long-Tailed Data through Group Spectral Regularization"☆17Updated 3 years ago
- ☆30Updated 4 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆115Updated 6 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.☆26Updated 4 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 6 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- Information Bottlenecks for Attribution☆83Updated 3 years ago
- Pytorch implementation of DGflow (ICLR 2021).☆17Updated 4 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆28Updated 6 years ago
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆74Updated 4 years ago
- PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].☆17Updated 4 years ago
- Code accompanying the AAAI 2021 paper "Spectral Distribution Aware Image Generation".☆24Updated 4 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 years ago
- ☆32Updated 5 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆25Updated 3 years ago