Data Science

NVIDIA at ICLR 2018

AI-Generated Summary

  • NVIDIA will present research on Progressive Growing of GANs for Improved Quality, Stability, and Variation at ICLR 2018.
  • Additional NVIDIA research posters cover Efficient Sparse-Winograd Convolutional Neural Networks, Deep Gradient Compression, and Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip.
  • Attendees can visit NVIDIA Booth #101 at the Vancouver Convention Center to experience deep learning demonstrations and meet hiring representatives.
  • The NVIDIA Deep Learning Institute offers $100 in online training credits to the first 200 attendees who take a course, plus a chance to win a TITAN V GPU.

Next Steps

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Join NVIDIA at ICLR 2018 at the Vancouver Convention Center, April 30 – May 3, 2018, as we share how the NVIDIA deep learning ecosystem is equipping researchers and developers to advance deep learning and artificial intelligence. Visit the NVIDIA Booth (#101) to experience deep learning in action, talk to an NVIDIA deep learning expert or meet our hiring team.

ICLR POSTERS & SESSIONS

NVIDIA will be presenting our research on various posters and sessions at ICLR.

Check the ICLR schedule for date, time and location >

NVIDIA RESEARCH

NVIDIA Research is home to many front-line research projects focused on accelerating future product technologies for computer vision, machine learning, AI, and more.
Learn more >

SEE WHAT’S NEW

Visit our booth and get hands on with the latest NVIDIA technology recently announced at our GPU Technology Conference (GTC) in San Jose.
View highlights >

ENTER TO WIN AN NVIDIA TITAN V OR $100 IN ONLINE TRAINING

The first 200 attendees to take an online course by the NVIDIA Deep Learning Institute (DLI) will receive $100 in online training credits. Plus, one lucky winner will be selected to win a TITAN V.
Just stop by NVIDIA booth #100 to pick up a token card for free access from the convenience of your laptop. Plus, meet our DLI University Ambassadors on Tuesday and Wednesday between 4-5 PM.
Learn more about DLI hands-on training at www.nvidia.com/dli
Review contest guidelines >

YOUR LIFE’S WORK, HERE.

At NVIDIA, you can work on all things Deep Learning, from architecture, to processors, systems, algorithms, and applications. Come help solve the unsolvable in every industry!
Open positions >
See you in Vancouver!
 
 
 

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