S. Bharadwaj

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Optimization & Training — 7 citations into it

Whom S. Bharadwaj trusts overall

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

1. Alex Krizhevsky

Papers from S. Bharadwaj's perspective

Ordered by how strongly the researchers S. Bharadwaj 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. Language Models are Unsupervised Multitask Learners
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Large Scale Distributed Deep Networks
5. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
6. One weird trick for parallelizing convolutional neural networks
7. Training Deep Nets with Sublinear Memory Cost
8. Reformer: The Efficient Transformer
9. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
10. ImageNet classification with deep convolutional neural networks

Their papers

• Training Large Neural Networks with Constant Memory using a New Execution Algorithm (2020) — 75 citations