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20142026
most citedAn Autoencoder Approach to Learning Bilingual Word Representations

326 citations · 717 across the 90 of their papers we have counts for

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7 papers · 1 filter

cs.LG2022

Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages

Emil Biju, Anirudh Sriram, Mitesh M. Khapra +1

Gesture typing is a method of typing words on a touch-based keyboard by creating a continuous trace passing through the relevant keys. This work is aimed at developing a keyboard t…

cs.LG2020★ 1 cited

Evaluating a Generative Adversarial Framework for Information Retrieval

Ameet Deshpande, Mitesh M. Khapra

Recent advances in Generative Adversarial Networks (GANs) have resulted in its widespread applications to multiple domains. A recent model, IRGAN, applies this framework to Informa…

cs.LG2018★ 1 cited

Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning

Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra +1

Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations.The key idea is to rank the filt…

cs.LG2018★ 26 cited

On Controllable Sparse Alternatives to Softmax

Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal +3

Converting an n-dimensional vector to a probability distribution over n objects is a commonly used component in many machine learning tasks like multiclass classification, multilab…

cs.LG2018★ 1 cited

FigureNet: A Deep Learning model for Question-Answering on Scientific Plots

Revanth Reddy, Rahul Ramesh, Ameet Deshpande +1

Deep Learning has managed to push boundaries in a wide variety of tasks. One area of interest is to tackle problems in reasoning and understanding, with an aim to emulate human int…

cs.LG2018★ 6 cited

Fusion Graph Convolutional Networks

Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra +2

Semi-supervised node classification in attributed graphs, i.e., graphs with node features, involves learning to classify unlabeled nodes given a partially labeled graph. Label pred…

cs.LG2018★ 1 cited

HOPF: Higher Order Propagation Framework for Deep Collective Classification

Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra +2

Given a graph where every node has certain attributes associated with it and some nodes have labels associated with them, Collective Classification (CC) is the task of assigning la…