Alham Fikri Aji
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 7 papers; trusts 56 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 221 citations into it; #4,441 of 35,345 by trust here, #5,682 by citations
- Natural Language Processing — 123 citations into it; #5,434 of 5,688 by trust here, #1,874 by citations
- Evaluation & Benchmarks — 68 citations into it
- Computer Vision and Pattern Recognition — 61 citations into it; #4,000 of 21,575 by trust here, #5,375 by citations
- Efficiency & Compression — 27 citations into it
- Optimization & Training — 18 citations into it; #495 of 2,601 by trust here, #1,059 by citations
- Model Architectures — 16 citations into it
- Materials Chemistry — 5 citations into it
Whom Alham Fikri Aji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Yoshua Bengio
- Nikko Ström
- Jimmy Ba
- Sepp Hochreiter
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Rico Sennrich
- J. Urgen Schmidhuber
- Kyunghyun Cho
Who trusts Alham Fikri Aji overall
- Sebastian U. Stich
- Felix Sattler
- Mohammad Mohammadi Amiri
- Shuai Zheng
- Farzin Haddadpour
- Hao Yu
- Cong Xie
- Samuel Horváth
- Deniz Gündüz
- Hyeontaek Lim
Papers from Alham Fikri Aji's perspective
Ordered by how strongly the researchers Alham Fikri Aji trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (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)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Marian: Fast Neural Machine Translation in C++ (2018) — 797 citations
- Crosslingual Generalization through Multitask Finetuning (2023) — 602 citations
- Sparse Communication for Distributed Gradient Descent (2017) — 882 citations
- Style Over Substance: Evaluation Biases for Large Language Models (2023) — 78 citations
- BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting (2022) — 114 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources (2022) — 14 citations