27 papers accepted at NeurIPS

MBZUAI faculty and researcher papers accepted at the 36th Conference on Neural Information Processing Systems

Saturday, September 17, 2022

MBZUAI faculty and researchers have 27 academic papers accepted at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022), which will take place in New Orleans, Louisiana in November. NeurIPS is a top, annual machine learning and computational neuroscience conference, which began in 1987.

According to the NeurIPS blog, for the 2022 conference there were over 9,600 full submissions, and over 35,000 reviews as a result. At last count, 12 MBZUAI faculty have at least one paper accepted. Topping the list, Professor Kun Zhang has 10 papers accepted with his co-authors.

MBZUAI faculty with publications at NeurIPS 2022 include Eric Xing, Le Song, Kun Zhang, Martin Takáč, Bin Gu, Pengtao Xie, Salman Khan, Qirong Ho, Fahad Khan, Rao Muhammad Anwer, Huan Xiong, and Muhammad Haris Khan. Also included in the tally of accepted papers are those by MBZUAI Research Scientists Dayan Guan, Guangyi Chen.

Accepted papers include:

Follow MBZUAI

To follow our scientists and stay up-to-date with the latest research from MBZUAI visit The Node, or follow us on LinkedIn, Twitter, and Instagram.

Related

thumbnail
Tuesday, July 15, 2025

New multimodal model brings pixel-level precision to satellite imagery

MBZUAI's Akashah Shabbir presented GeoPixel at ICML: a multimodal model that supports the task of pixel grounding.....

  1. machine learning ,
  2. research ,
  3. computer vision ,
  4. icml ,
  5. dataset ,
  6. Ph.D. ,
  7. multimodal ,
  8. remote sensing ,
  9. geopixel ,
Read More
thumbnail
Friday, July 11, 2025

Not your typical digital twins: How two Emirati brothers are using AI to make the UAE’s roads safer

Identical twins Abdulla and Abdulrahman Almarzooqi share more than looks. Together, the MBZUAI master’s graduates are working.....

  1. graduation ,
  2. alumni ,
  3. graduates ,
  4. commencement 2025 ,
  5. commencement ,
  6. MLLMs ,
  7. machine learning ,
Read More