Research paper explained from:- https://arxiv.org/pdf/1905.10702.pdf So what is a KG? Practically, a KG usually consists of a set of facts. And a fact is a triple (head, relation, tail) where heads and tails are called entities. KG completion is a huge task that helps us learn/predict new edges; for example, predicting any new customer that…

Recap Attention and Positional Embeddings — Because of how the attention mechanism works it doesn’t have a way to discern where a token is in a sentence because each sentence is treated as a Bag of Words so we usually add positional embeddings (fixed or trainable) This can be done in 2 ways:- add positional encoding or…

Gaussian Embedding of Large-scale Attributed Graphs :- Research paper summary GitHub - bhagya-hettige/GLACE: Gaussian Embedding of Large-scale Attributed Graphs You can't perform that action at this time. You signed in with another tab or window. You signed out in another tab or…github.com Core Ideas :- Embbed nodes as Gausian distribution with some mean U and co- variance matrix Sigma Gaussian distribution takes care of uncertainty in graphs

Derivation https://www.youtube.com/watch?v=IXsA5Rpp25w&ab_channel=KapilSachdeva Intuition https://www.youtube.com/watch?v=HxQ94L8n0vU&ab_channel=MachineLearning%26Simulation (PS just watch the first video and read along for VAE) Introduction Variational autoencoders have been used for anomaly detection, data compression, image denoising, and for reducing dimensionality in preparation for some other algorithm or model. …

Github:-https://github.com/abhiss4/Forecasting- Concepts used:- Attention mechanism Sliding window for multiple days forecasting New feature — Attention on Compressed Lag page views Deep learning Keras Model Subclassing Ml Problem Formulation:- Given a time series of length n predict 64 days of future web views Core Idea:- Use Attention on Lagged Page views to capture long term seasonality to predict…

By Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang. Why? :- from the same research group — presented as a given: that autoregressive pretraining is no good for NLU. Well hold your paper! And keep reading ;)… The proposed, p-tuning, has the potential to…

Business Problem:- Given an Image containing multiple text regions, detect the text regions and recognize the text in those regions. Reading text from natural images is very useful in many domains like document analysis, robot navigation, scene understanding, self-driving cars, and image retrieval. It’s also one of the most challenging…

Business problem:- — suggest relevant products as per users’ order history or predict which product a user has bought before is most likely to be purchased again. Source of data :- kaggle instacart market basket allowance https://www.kaggle.com/c/instacart-market-basket-analysis/overview Existing approaches to the problem :- It is a kaggle competition held in 2017 with 3000 entries All the solutions can be found here