Nicolas Hamilakis

Speech & Audio · 2021

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

Subfields

• Speech & Audio — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Nicolas Hamilakis trusts overall

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

1. Thomas Schatz
2. Alexei Baevski

Papers from Nicolas Hamilakis's perspective

Ordered by how strongly the researchers Nicolas Hamilakis 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. Attention is All you Need (Neural Information Processing Systems)
3. Representation Learning with Contrastive Predictive Coding
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• The Zero Resource Speech Challenge 2021: Spoken Language Modelling (2021) — 68 citations