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Papers for Summer 2018
☆35Updated 7 years ago
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- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
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- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 7 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 5 years ago
- Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)☆58Updated 7 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 3 years ago
- Pytorch implementation of the DeepDream computer vision algorithm☆103Updated 5 years ago
- Gradient-weighted Class Activation Mapping (Grad-CAM) Demo☆110Updated 7 years ago
- Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322☆60Updated 7 years ago
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- Plot loss and accuracy of neural networks over time☆63Updated 8 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)☆69Updated 4 years ago
- On disentangling the menagerie of disentanglement papers☆27Updated 5 years ago
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