NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict-aware Supernet Training
Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
People
Xinlei Chen
Research Scientist
I joined as a Research Scientist at Meta AI Research, Menlo Park in Feb 2018. Previously, I received a PhD in Computer Vision and Natural Language Processing from Carnegie Mellon University in 2018 under the supervision of Abhinav Gupta. Before that, I obtained a BE from Zhejiang University, China in 2012.
Interests
Computer vision, natural language processing, and machine learning.
Latest Publications
ICLR - 2022
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen, Saining Xie, Kaiming He
Exploring Simple Siamese Representation Learning
Xinlei Chen, Kaiming He
Understanding Self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian, Xinlei Chen, Surya Ganguli
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation
Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh