Advait Jain

arXiv.org · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Advait Jain trusts overall

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

1. Morgan Quigley
2. Pearu Peterson

Papers from Advait Jain's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. Hello Edge: Keyword Spotting on Microcontrollers
3. Small-footprint keyword spotting using deep neural networks
4. Quantizing deep convolutional networks for efficient inference: A whitepaper
5. MLPerf Inference Benchmark
6. CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs
7. Glow: Graph Lowering Compiler Techniques for Neural Networks
8. MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance
9. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
10. Visual Wake Words Dataset

Their papers

• Pulling open doors and drawers: Coordinating an omni-directional base and a compliant arm with Equilibrium Point control (2010) — 92 citations
• TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems (2020) — 717 citations