Rishabh Joshi
Artificial Intelligence · 2023
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Natural Language Processing — 16 citations into it
Whom Rishabh Joshi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Radford M. Neal
- John Schulman
- Noam Shazeer
- Nisan Stiennon
- Geoffrey E. Hinton
- Alec Radford
- Yoshua Bengio
- Diederik P. Kingma
- Colin Raffel
Who trusts Rishabh Joshi overall
Papers from Rishabh Joshi's perspective
Ordered by how strongly the researchers Rishabh Joshi trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Gradient-based learning applied to document recognition
Their papers
- SLiC-HF: Sequence Likelihood Calibration with Human Feedback (2023) — 422 citations
- Statistical Rejection Sampling Improves Preference Optimization (2023) — 363 citations