Kartik Goyal

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 126 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it; #14,264 of 35,345 by trust here, #20,377 by citations
• Natural Language Processing — 54 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Large Language Models — 17 citations into it; #464 of 799 by trust here, #751 by citations
• Model Architectures — 9 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it; #1,191 of 1,525 by trust here, #1,313 by citations
• Safety, Robustness & Interpretability — 9 citations into it

Whom Kartik Goyal trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Diederik P. Kingma
5. Yann LeCun
6. Oriol Vinyals
7. Dzmitry Bahdanau
8. Alex Krizhevsky
9. Alex Graves
10. Kyunghyun Cho

Who trusts Kartik Goyal overall

1. Bryan Eikema
2. Tsvetomila Mihaylova
3. Fatemehsadat Mireshghallah
4. Weijia Xu
5. Cong Duy Vu Hoang
6. Sam Bond-Taylor
7. Christos Baziotis
8. Dongyoung Go
9. André F. T. Martins
10. Gholamreza Haffari

Papers from Kartik Goyal's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Differentiable Scheduled Sampling for Credit Assignment (2017) — 40 citations
• Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings (2021) — 54 citations
• Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models (2022) — 91 citations