DEEP LEARNING - TECHNIQUE

Check out this collection of posters to see how researchers apply deep learning techniques and are accelerating their work with the power of GPUs.

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    A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels

    Liqiang Wang, Associate Professor, University of Central Florida

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    Domain Adaption of Image Caption Model for Video Descriptions

    Nithish Divakar, Research Engineer, Cogknit Semantics

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    Analysis of multimodal human-generated sensor data: A deep learning approach for early detection of dementia

    Omar Costilla-Reyes, Researcher, University of Manchester, University of Manchester

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    The Development of Immediate Badminton Video Analysis System

    Che-Rung Lee, Associate Professor, National Tsing Hua University

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    A Computational Approach to Diagnose Depression Using Twitter and fMRI Scans

    Neeyanth Kopparapu, High School Researcher, Thomas Jefferson High School for Science and Technology

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    Binary-decomposed DCNN for accelerating computation and compressing model without retraining

    Hironobu Fujiyoshi, Associate Professor, Chubu University

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    Biologically plausible learning for deep spiking neural networks

    Ng Aik Beng, Senior Solutions Architect, NVIDIA

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    Cascade Capsule Network

    Hongyang Li, Ph.D. candidate, The Chinese University of Hong Kong

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    Composable Unpaired Image to Image Translation

    Anant Gupta, Masters Student, New York University

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    Gated Graph Neural Network: Implementing a Propagation Algorithm with nvGraph and cuBLAS

    Sidney Melo, Professor, Fluminense Federal University

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    Handling data imbalance in deep learning

    Isabelle Hupont, Research Scientist, Herta Security

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    Virtual-to-Real: Learning to Control in Visual Semantic Segmentation

    Zhang-Wei Hong, Graduate student, National Tsing Hua University

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    Hierarchical AI framework for ART games

    Lin Cong, AI Expert, Netease

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    NUF-Net: On-device Facial Recognition using Convolutional Neural Networks

    Chakkrit Termritthikun, Student, Naresuan University

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    Reinforcement Learning for End-to-End Trainable Neural Dialog Models

    Bing Liu, PhD Candidate, Carnegie Mellon University

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    Multimodal Fusion and Multi-GPU Computing based Early-stage Diagnosis of Mild Cognitive Impairment

    Di Zhao, Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences

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    You Only Need One - Game Design to Enhance Deep Learning for Fashion

    Rajesh Kumar S A, CTO, Streamoid Technologies Inc

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    Crack Detection for Inspection with Deep Learning

    Vijay Venkataraman, Research Scientist, Honeywell Aerospace - Advanced Technology

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    Open-Source Stand-Alone 8-bit Inference with ISAAC

    Philippe Tillet, PhD Student, Harvard University

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    Curiosity-Driven Exploration by Self-Supervised Prediction

    Deepak Pathak, Ph.D. Candidate, UC Berkeley

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    Sim2Real Visual Robotic Servoing for Navigation and Manipulation via Deep Reinforcement Learning

    Fereshteh Sadeghi, PhD Candidate, University of Washington

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    Deep learning regulatory sequence drivers of chromatin accessibility dynamics during cellular reprogramming

    Anna Shcherbina, Graduate Student, Stanford University

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    Get To The Point: Summarization with Pointer-Generator Networks

    Abigail See, PhD Student, Stanford University