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AutoGOAL
A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
The Lottery Ticket Hypothesis: A Survey
Dive deeper into the lottery ticket hypothesis and review the literature after the original ICLR best paper award by Frankle & Carbin (2019).
lottery-ticket-hypothesis survey deep-learning article
STEFANN: Scene Text Editor using Font Adaptive Neural Network
A generalized method for realistic modification of textual content present in a scene image. ⭐️ Accepted in CVPR 2020.
scene-image scene-text-editor font-adaptive font-generation
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Supervised Contrastive Learning
Implements the ideas presented in Supervised Contrastive Learning (https://arxiv.org/pdf/2004.11362v1.pdf) by Khosla et al.
deep-learning representation-learning contrastive-learning supervised-contrastive-learning
Look inside the workings of "Label Smoothing"
This blog post describes how and why does "trick" of label smoothing improves the model accuracy and when should we use it
deep-learning classification image-classification computer-vision
SimCLR in TensorFlow 2
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
self-supervised-learning representation-learning deep-learning computer-vision
Taxonomy of Real Faults in Deep Learning Systems
Large taxonomy of faults in deep learning (DL) systems.
checklist bugs deep-learning research
Unsupervised Question Decomposition for Question Answering
Decompose hard (multi-hop) questions into several, easier (single-hop) questions using unsupervised learning, and get better accuracy on multi-hop QA.
question-answering natural-language-processing unsupervised-learning deep-learning
Meta Pseudo Labels
We all know about meta-learning and pseudo labeling but what if we combine the two techniques for semi-supervised learning? Can it be any beneficial?
semi-supervised-learning meta-learning machine-learning deep-learning
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