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05/22/2023
Communication-minimizing Asynchronous Tensor Parallelism
As state-of-the-art neural networks scale to billions of parameters, des...
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03/11/2023
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training
Mixture-of-Experts (MoE) is a neural network architecture that adds spar...
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02/10/2023
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training
Parallel training of neural networks at scale is challenging due to sign...
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06/26/2022
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi
In this paper we discuss an in-progress work on the development of a spe...
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03/22/2022
Demo of the Linguistic Field Data Management and Analysis System – LiFE
In the proposed demo, we will present a new software - Linguistic Field ...
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11/23/2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Individual rationality, which involves maximizing expected individual re...
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11/19/2021
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse
In this paper, we discuss the development of a multilingual dataset anno...
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11/09/2021
How to Train Your Neural Network: A Comparative Evaluation
The field of deep learning has witnessed a remarkable shift towards extr...
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10/25/2021
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning
In the last few years, the memory requirements to train state-of-the-art...
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08/24/2021
Domain Adaptation for Real-World Single View 3D Reconstruction
Deep learning-based object reconstruction algorithms have shown remarkab...
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06/29/2021
Learning to Map for Active Semantic Goal Navigation
We consider the problem of object goal navigation in unseen environments...
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09/16/2020
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems
In the past decade, high performance compute capabilities exhibited by h...
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07/12/2020
Stance Detection in Web and Social Media: A Comparative Study
Online forums and social media platforms are increasingly being used to ...
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03/16/2020
Developing a Multilingual Annotated Corpus of Misogyny and Aggression
In this paper, we discuss the development of a multilingual annotated co...
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01/15/2020
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
Social dilemma situations bring out the conflict between individual and ...
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01/15/2020
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
In social dilemma situations, individual rationality leads to sub-optima...
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10/24/2019
RoboNet: Large-Scale Multi-Robot Learning
Robot learning has emerged as a promising tool for taming the complexity...
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08/11/2018
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool
Objective. Annotation is expensive but essential for clinical note revie...
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04/23/2018
