mbaradad / learning_with_noise
Learning to See by Looking at Noise
☆109Updated 4 months ago
Alternatives and similar repositories for learning_with_noise:
Users that are interested in learning_with_noise are comparing it to the libraries listed below
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆32Updated 5 months ago
- A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.☆72Updated 3 years ago
- ☆41Updated 2 years ago
- Fair Generative Modeling via Weak Supervision☆20Updated 2 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 3 years ago
- ☆140Updated 4 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆30Updated 4 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 11 months ago
- ☆24Updated last year
- ☆23Updated 4 months ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆59Updated 2 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆105Updated 2 years ago
- Invert and perturb GAN images for test-time ensembling☆96Updated 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
- Train ImageNet *fast* in 500 lines of code with FFCV☆140Updated 10 months ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆62Updated last year
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 3 years ago
- ☆108Updated last year
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated 10 months ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆54Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆132Updated 3 years ago
- ☆54Updated 4 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- ☆95Updated 2 years ago
- This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes …☆84Updated 2 years ago
- Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"☆63Updated last year
- Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks☆57Updated 4 years ago