Hemlata Tak
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Optimization & Training — 10 citations into it
Whom Hemlata Tak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jimmy Ba
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Xin Eric Wang
- Jee-weon Jung
- Alex Krizhevsky
- Massimiliano Todisco
- Ilya Sutskever
Who trusts Hemlata Tak overall
Papers from Hemlata Tak's perspective
Ordered by how strongly the researchers Hemlata Tak 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation (2022) — 321 citations
- AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks (2021) — 580 citations
- End-to-End anti-spoofing with RawNet2 (2020) — 551 citations