59 citations · 100 across the 12 of their papers we have counts for
6 papers · 1 filter
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan +2
In this paper, we introduce McTorch, a manifold optimization library for deep learning that extends PyTorch. It aims to lower the barrier for users wishing to use manifold constrai…
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan +1
We propose a novel geometric approach for learning bilingual mappings given monolingual embeddings and a bilingual dictionary. Our approach decouples learning the transformation fr…
Low-rank geometric mean metric learning
Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai +1
We propose a low-rank approach to learning a Mahalanobis metric from data. Inspired by the recent geometric mean metric learning (GMML) algorithm, we propose a low-rank variant of…
E-commerce Anomaly Detection: A Bayesian Semi-Supervised Tensor Decomposition Approach using Natural Gradients
Anil R. Yelundur, Srinivasan H. Sengamedu, Bamdev Mishra
Anomaly Detection has several important applications. In this paper, our focus is on detecting anomalies in seller-reviewer data using tensor decomposition. While tensor-decomposit…
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds
Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
We present a novel framework for domain adaptation, whereby both geometric and statistical differences between a labeled source domain and unlabeled target domain can be integrated…
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information
Madhav Nimishakavi, Bamdev Mishra, Manish Gupta +1
Low rank tensor completion is a well studied problem and has applications in various fields. However, in many real world applications the data is dynamic, i.e., new data arrives at…