Hrant Khachatrian
Artificial Intelligence · with Hambardzumyan · 2021
A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #11,547 of 35,345 by trust here, #14,438 by citations
- Natural Language Processing — 24 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Large Language Models — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Hrant Khachatrian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Timo Schick
- Geoffrey E. Hinton
- Yoshua Bengio
- Alec Radford
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alex Wang
- Quoc V. Le
- Yann LeCun
Who trusts Hrant Khachatrian overall
- Hyojin Bahng
- Brian Lester
- Zonghan Yang
- Colin Wei
- Patrick Schramowski
- Ali Jahanian
- Peter West
- Tu Vu
- Pengfei Liu
- Yu Meng
Papers from Hrant Khachatrian's perspective
Ordered by how strongly the researchers Hrant Khachatrian trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- WARP: Word-level Adversarial ReProgramming (2021) — 380 citations