Derry Tanti Wijaya

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 5 papers; trusts 213 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it; #22,726 of 35,345 by trust here, #5,495 by citations
• Computer Vision and Pattern Recognition — 60 citations into it; #21,418 of 21,575 by trust here, #14,151 by citations
• Representation & Self-Supervised Learning — 34 citations into it
• Natural Language Processing — 28 citations into it; #4,038 of 5,688 by trust here, #3,897 by citations
• Meta & Continual Learning — 19 citations into it; #1,041 of 1,041 by trust here, #897 by citations
• Multimodal Learning — 18 citations into it
• Optimization & Training — 7 citations into it
• Information Retrieval & Search — 6 citations into it

Whom Derry Tanti Wijaya trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Fabian M. Suchanek
6. Diederik P. Kingma
7. Shaoqing Ren
8. Ilya Sutskever
9. Yann LeCun
10. Erez Lieberman Aiden

Who trusts Derry Tanti Wijaya overall

1. Vivek Kulkarni
2. Carl Yang
3. Rami Al-Rfou
4. Sunny Mitra
5. Lanxiao Bai
6. Haoyang Huang
7. Bryan Perozzi
8. Chenyi Zhuang
9. Kokil Jaidka

Papers from Derry Tanti Wijaya's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Never-Ending Learning (2015) — 1,135 citations
• Learning to Scale Multilingual Representations for Vision-Language Tasks (2020) — 36 citations
• PIDGIN: ontology alignment using web text as interlingua (2013) — 41 citations
• Understanding semantic change of words over centuries (2011) — 172 citations
• Subspace Regularizers for Few-Shot Class Incremental Learning (2021) — 83 citations