Arun Babu
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 4 papers; trusts 80 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 186 citations into it; #35,235 of 35,345 by trust here, #10,065 by citations
- Computer Vision and Pattern Recognition — 76 citations into it
- Speech & Audio — 76 citations into it
- Natural Language Processing — 64 citations into it
- Signal Processing — 58 citations into it
- Representation & Self-Supervised Learning — 49 citations into it; #3,144 of 3,145 by trust here, #1,370 by citations
- Large Language Models — 23 citations into it
- Optimization & Training — 12 citations into it
Whom Arun Babu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Graves
- Alexei Baevski
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Jimmy Ba
- Yann LeCun
Who trusts Arun Babu overall
- Ye Jia
- Ankur Bapna
- Alexis Conneau
- Xinjian Li
- Yu Zhang
- Sang-Hoon Lee
- Hyeong-Seok Choi
- Dong Zhang
- Alec Radford
- Paul-Ambroise Duquenne
Papers from Arun Babu's perspective
Ordered by how strongly the researchers Arun Babu 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language (2022) — 1,194 citations
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale (2021) — 1,102 citations
- Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization (2021) — 21 citations
- Scaling Speech Technology to 1, 000+ Languages (2023) — 691 citations