Shikib Mehri
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 8 papers; trusts 390 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 205 citations into it; #4,336 of 35,345 by trust here, #8,007 by citations
- Natural Language Processing — 191 citations into it; #1,116 of 5,688 by trust here, #2,132 by citations
- Evaluation & Benchmarks — 78 citations into it; #506 of 3,147 by trust here, #1,431 by citations
- Computer Vision and Pattern Recognition — 46 citations into it
- Large Language Models — 31 citations into it
- Dialogue & Conversational AI — 23 citations into it; #94 of 131 by trust here, #115 by citations
- Model Architectures — 7 citations into it
- Reinforcement Learning — 7 citations into it
Whom Shikib Mehri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Jacob Devlin
- Alex Krizhevsky
- Sepp Hochreiter
- Oriol Vinyals
- Alex Graves
- Alec Radford
Who trusts Shikib Mehri overall
- Yi-Ting Yeh
- Jinlan Fu
- Maxine Eskénazi
- Mingkai Deng
- Yi Chen
- Yang Liu
- Baolin Peng
- Sarik Ghazarian
- Pei Zhou
- Behnam Hedayatnia
Papers from Shikib Mehri's perspective
Ordered by how strongly the researchers Shikib Mehri trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation (2020) — 276 citations
- A Comprehensive Assessment of Dialog Evaluation Metrics (2021) — 122 citations
- Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning (2022) — 57 citations
- Beyond Turing: Intelligent Agents Centered on the User (2019) — 13 citations
- Unsupervised Evaluation of Interactive Dialog with DialoGPT (2020) — 215 citations
- InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning (2022) — 58 citations
- Structured Fusion Networks for Dialog (2019) — 94 citations
- DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue (2020) — 148 citations