PapersAnalysis
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Analysis, summaries, cheatsheets about relevant papers
# Overview Paper overview # Implicit Neural Representations with Periodic Activation Functions Arxiv: https://arxiv.org/abs/2006.09661 Project Web: https://vsitzmann.github.io/siren/  ## Images as NN Say you have a Signal represented on a...
Analysis of the paper Generative Minimization Networks: Training GANs Without Competition https://arxiv.org/abs/2103.12685v1
Analysis of the paper Vision Transformers for Dense Prediction https://arxiv.org/abs/2103.13413v1
VGG Loss
# Overview VGG Loss Explained Published [here](https://sites.google.com/view/nikolateslacoils/ml-cap-code/vgg-loss)
# Overview Machine Learning of Sets http://akosiorek.github.io/ml/2020/08/12/machine_learning_of_sets.html Interesting post about doing ML on **sets of elements**
# Overview ## Variational Autoencoder with Learned Latent Structure Arxiv: https://arxiv.org/abs/2006.10597  > The manifold hypothesis states that high-dimensional data can be modeled as lying on or near a low-dimensional,...
# Overview ## PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Arxiv: https://arxiv.org/abs/1612.00593 GitHub: https://github.com/charlesq34/pointnet --------- Analysis of [PointNet](https://github.com/charlesq34/pointnet) : a DNN designed to work directly on...
# Overview ## Causality for Machine Learning Arxiv: https://arxiv.org/abs/1911.10500  - The [Beuchet Chair](http://apps.usd.edu/coglab/schieber/psyc301/BeuchetChair.html) | Key | Value | | --- | --- | | Type of Contribution | Theory...
# Overview ## Complex-YOLO: Real-time 3D Object Detection on Point Clouds Arxiv: https://arxiv.org/abs/1803.06199  | Key | Value | | --- | --- | | Type of Contribution | DNN...
# Overview ## Universal Domain Adaptation through Self Supervision https://arxiv.org/abs/2002.07953  # NOTE For the best rendering please install and activate [Tex all the things - Chrome Plugin](https://chrome.google.com/webstore/detail/tex-all-the-things/cbimabofgmfdkicghcadidpemeenbffn) which provides...