52 citations · 314 across the 32 of their papers we have counts for
7 papers · 1 filter
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions
Shayne O'Brien, Matt Groh, Abhimanyu Dubey
The true distribution parameterizations of commonly used image datasets are inaccessible. Rather than designing metrics for feature spaces with unknown characteristics, we propose…
No Peek: A Survey of private distributed deep learning
Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar +2
We survey distributed deep learning models for training or inference without accessing raw data from clients. These methods aim to protect confidential patterns in data while still…
How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +3
In this empirical paper, we investigate how learning agents can be arranged in more efficient communication topologies for improved learning. This is an important problem because a…
Maximum-Entropy Fine-Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar +1
Fine-Grained Visual Classification (FGVC) is an important computer vision problem that involves small diversity within the different classes, and often requires expert annotators t…
Coreset-Based Neural Network Compression
Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja
We propose a novel Convolutional Neural Network (CNN) compression algorithm based on coreset representations of filters. We exploit the redundancies extant in the space of CNN weig…
Closing the AI Knowledge Gap
Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen +6
AI researchers employ not only the scientific method, but also methodology from mathematics and engineering. However, the use of the scientific method - specifically hypothesis tes…
MemeSequencer: Sparse Matching for Embedding Image Macros
Abhimanyu Dubey, Esteban Moro, Manuel Cebrian +1
The analysis of the creation, mutation, and propagation of social media content on the Internet is an essential problem in computational social science, affecting areas ranging fro…