Abhinav Rastogi
Artificial Intelligence · 2016–2024
A researcher in the Science corpus: 14 papers; trusts 316 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 246 citations into it; #6,196 of 35,345 by trust here, #4,041 by citations
- Natural Language Processing — 157 citations into it; #1,183 of 5,688 by trust here, #1,130 by citations
- Computer Vision and Pattern Recognition — 68 citations into it; #11,772 of 21,575 by trust here, #14,822 by citations
- Large Language Models — 48 citations into it
- Evaluation & Benchmarks — 36 citations into it; #2,612 of 3,147 by trust here, #584 by citations
- Reinforcement Learning — 27 citations into it
- Model Architectures — 21 citations into it
- Alignment & RLHF — 20 citations into it
Whom Abhinav Rastogi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew Henderson
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Blaise Thomson
- Ilya Sutskever
- Oriol Vinyals
- Sepp Hochreiter
- Alex Krizhevsky
- Jimmy Ba
Who trusts Abhinav Rastogi overall
- Andrea Madotto
- Mihir Kale
- Zhaojiang Lin
- Chia-Hsuan Lee
- Li Zhou
- Chien-Sheng Wu
- Xiaoxue Zang
- Elnaz Nouri
- Puyang Xu
- Yi Tay
Papers from Abhinav Rastogi's perspective
Ordered by how strongly the researchers Abhinav Rastogi trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- A Fast Unified Model for Parsing and Sentence Understanding (2016) — 323 citations
- Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset (2019) — 732 citations
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (2023) — 683 citations
- Building a Conversational Agent Overnight with Dialogue Self-Play (2018) — 208 citations
- RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback (2023) — 404 citations
- DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks (2019) — 81 citations
- Scalable multi-domain dialogue state tracking (2017) — 115 citations
- Few-Shot Natural Language Generation by Rewriting Templates (2020) — 12 citations
- MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines (2020) — 338 citations
- Improve Mathematical Reasoning in Language Models by Automated Process Supervision (2024) — 417 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Template Guided Text Generation for Task Oriented Dialogue (2020) — 84 citations
- Multi-task Learning for Joint Language Understanding and Dialogue State Tracking (2018) — 57 citations