Siddharth Dalmia
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it
- Speech & Audio — 57 citations into it
- Signal Processing — 41 citations into it
- Natural Language Processing — 28 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Siddharth Dalmia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Yajie Miao
- Geoffrey E. Hinton
- Karel Veselý
- Georg Heigold
- J. Urgen Schmidhuber
- Yoshua Bengio
- Tanja Schultz
- Mohammad A. Gowayyed
- L. V. D. van der Maaten
Who trusts Siddharth Dalmia overall
Papers from Siddharth Dalmia's perspective
Ordered by how strongly the researchers Siddharth Dalmia trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech (2022) — 651 citations
- Multilingual Speech Recognition with Corpus Relatedness Sampling (2019) — 17 citations
- Sequence-Based Multi-Lingual Low Resource Speech Recognition (2018) — 101 citations
- Universal Phone Recognition with a Multilingual Allophone System (2020) — 172 citations