Deep Learning - Training Conference Posters

An improvement of neural network accuracy by distributed learning

Konstantin Kuznetsov, deeplearning architect, Entropix

Deep Learning for Targeted Assimilation of Satellite Data

Yu-Ju Lee, Professional Research Assistant, University of Colorado Boulder

Hybrid Learning Network : A Novel Architecture for Fast Learning

Ying Liu, Professor, University of Chinese Academy of Sciences

Model Quantization Based On Training

Yafei Lv, researcher, IFLYTEK CO.,LTD.

Deep Learning with Very Large Models on POWER9 Systems with Volta GPUs

Saritha Vinod, Senior Software Engineer, IBM

Classification of Animals Based on their Species Using Deep Learning Framework

Satyadhyan Chickerur, Professor, K L E Technological University

Automatic Speech Recognition for Low-resource Manipuri Language

Tanvina Patel, Data Scientist (Speech Systems), Cogknit Semantics

Deep Clean: GPU Powered Speech Denoising using Adversarial Learning

Laxmi Pandey, Research Engineer, Cogknit Semantics

Online Learning for Speaker-Adaptive Language Models

Chih Hu, PhD Student, Carnegie Mellon University

Auto-ML for Automated Optimization of Speech Recognition on Mobile Devices

Akshay Chandrashekaran, PhD. Candidate, Carnegie Mellon University

Speaker Role Contextual Modeling for Spoken Language Understanding in Dialogues

Shang-Yu Su, student, National Taiwan University

LangDectNet: Spoken Language Detection Using Parallelly Trainable Deep RCNN Architectures.

Shivam Patel, Research Student, Nirma University