Sujith Ravi | DeepAI

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Featured Co-authors

Xin Wang
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Ravi Kumar
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∙ 06/24/2022

Approximating 1-Wasserstein Distance with Trees

Wasserstein distance, which measures the discrepancy between distributio...

9 Makoto Yamada, et al. ∙

∙ 09/08/2021

Fixed Support Tree-Sliced Wasserstein Barycenter

The Wasserstein barycenter has been widely studied in various fields, in...

18 Yuki Takezawa, et al. ∙

∙ 08/05/2021

Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints

We analyze the tradeoff between factuality and abstractiveness of summar...

0 Markus Dreyer, et al. ∙

∙ 04/20/2021

Efficient Retrieval Optimized Multi-task Learning

Recently, there have been significant advances in neural methods for tac...

0 Hengxin Fun, et al. ∙

∙ 04/17/2021

Transductive Learning for Abstractive News Summarization

Pre-trained language models have recently advanced abstractive summariza...

0 Arthur Bražinskas, et al. ∙

∙ 05/01/2020

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

Knowledge graph (KG) embeddings learn low-dimensional representations of...

11 Ines Chami, et al. ∙

∙ 05/01/2020

GoEmotions: A Dataset of Fine-Grained Emotions

Understanding emotion expressed in language has a wide range of applicat...

0 Dorottya Demszky, et al. ∙

∙ 04/13/2020

ProFormer: Towards On-Device LSH Projection Based Transformers

At the heart of text based neural models lay word representations, which...

0 Chinnadhurai Sankar, et al. ∙

∙ 03/01/2020

Environment-agnostic Multitask Learning for Natural Language Grounded Navigation

Recent research efforts enable study for natural language grounded navig...

0 Xin Wang, et al. ∙

∙ 11/13/2019

Learning from a Teacher using Unlabeled Data

Knowledge distillation is a widely used technique for model compression....

0 Gaurav Menghani, et al. ∙

∙ 10/16/2019

Generalized Clustering by Learning to Optimize Expected Normalized Cuts

We introduce a novel end-to-end approach for learning to cluster in the ...

0 Azade Nazi, et al. ∙

∙ 08/14/2019

On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study

Recently, there has been strong interest in developing natural language ...

0 Chinnadhurai Sankar, et al. ∙

∙ 07/05/2019

Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes

Open domain dialog systems face the challenge of being repetitive and pr...

0 Chinnadhurai Sankar, et al. ∙

∙ 06/04/2019

Transferable Neural Projection Representations

Neural word representations are at the core of many state-of-the-art nat...

0 Chinnadhurai Sankar, et al. ∙

∙ 03/02/2019

GAP: Generalizable Approximate Graph Partitioning Framework

Graph partitioning is the problem of dividing the nodes of a graph into ...

0 Azade Nazi, et al. ∙

∙ 08/02/2017

ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections

Deep neural networks have become ubiquitous for applications related to ...

0 Sujith Ravi, et al. ∙

∙ 03/14/2017

Neural Graph Machines: Learning Neural Networks Using Graphs

Label propagation is a powerful and flexible semi-supervised learning te...

0 Thang D. Bui, et al. ∙

∙ 09/07/2016

Semantic Video Trailers

Query-based video summarization is the task of creating a brief visual t...

0 Harrie Oosterhuis, et al. ∙

∙ 06/15/2016

Smart Reply: Automated Response Suggestion for Email

In this paper we propose and investigate a novel end-to-end method for a...

0 Anjuli Kannan, et al. ∙

∙ 04/11/2016

Conversational flow in Oxford-style debates

Public debates are a common platform for presenting and juxtaposing dive...

0 Justine Zhang, et al. ∙

∙ 12/06/2015

Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation

Traditional graph-based semi-supervised learning (SSL) approaches, even ...

0 Sujith Ravi, et al. ∙

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