140 citations · 318 across the 16 of their papers we have counts for
6 papers · 1 filter
Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes
Chinnadhurai Sankar, Sujith Ravi
Open domain dialog systems face the challenge of being repetitive and producing generic responses. In this paper, we demonstrate that by conditioning the response generation on int…
GAP: Generalizable Approximate Graph Partitioning Framework
Azade Nazi, Will Hang, Anna Goldie +2
Graph partitioning is the problem of dividing the nodes of a graph into balanced partitions while minimizing the edge cut across the partitions. Due to its combinatorial nature, ma…
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections
Sujith Ravi
Deep neural networks have become ubiquitous for applications related to visual recognition and language understanding tasks. However, it is often prohibitive to use typical neural…
Neural Graph Machines: Learning Neural Networks Using Graphs
Thang D. Bui, Sujith Ravi, Vivek Ramavajjala
Label propagation is a powerful and flexible semi-supervised learning technique on graphs. Neural networks, on the other hand, have proven track records in many supervised learning…
Semantic Video Trailers
Harrie Oosterhuis, Sujith Ravi, Michael Bendersky
Query-based video summarization is the task of creating a brief visual trailer, which captures the parts of the video (or a collection of videos) that are most relevant to the user…
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
Sujith Ravi, Qiming Diao
Traditional graph-based semi-supervised learning (SSL) approaches, even though widely applied, are not suited for massive data and large label scenarios since they scale linearly w…