Min Zhang

Computer Vision and Pattern Recognition · with Xu · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Zhang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Min Zhang's perspective

Ordered by how strongly the researchers Min Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Mask R-CNN
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Aggregated Residual Transformations for Deep Neural Networks
  5. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  6. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
  7. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  8. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  9. VideoBERT: A Joint Model for Video and Language Representation Learning
  10. Self-Attention with Relative Position Representations

Their papers