Vihan Jain
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 8 papers; trusts 249 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 123 citations into it; #23,075 of 35,345 by trust here, #3,978 by citations
- Computer Vision and Pattern Recognition — 98 citations into it; #15,484 of 21,575 by trust here, #10,334 by citations
- Natural Language Processing — 57 citations into it; #4,900 of 5,688 by trust here, #3,754 by citations
- Reinforcement Learning — 53 citations into it
- Multimodal Learning — 36 citations into it; #1,040 of 1,211 by trust here, #1,004 by citations
- Information Systems — 18 citations into it; #8,614 of 8,771 by trust here, #520 by citations
- Model Architectures — 13 citations into it
- Representation & Self-Supervised Learning — 12 citations into it; #3,119 of 3,145 by trust here, #774 by citations
Whom Vihan Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Sepp Hochreiter
- Diederik P. Kingma
- Mike Schuster
- Ilya Sutskever
- Yann LeCun
Who trusts Vihan Jain overall
- Alexander Ku
- Valts Blukis
- Larry Lansing
- Mingde Zhao
- Jialu Li
- Harsh Mehta
- Shizhe Chen
- Eugene Ie
- Yicong Hong
- Gabriel Ilharco
Papers from Vihan Jain's perspective
Ordered by how strongly the researchers Vihan Jain trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation (2019) — 231 citations
- Transferable Representation Learning in Vision-and-Language Navigation (2019) — 95 citations
- Wide & Deep Learning for Recommender Systems (2016) — 4,198 citations
- TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (2017) — 478 citations
- RecSim: A Configurable Simulation Platform for Recommender Systems (2019) — 215 citations
- VALAN: Vision and Language Agent Navigation (2019) — 8 citations
- On the Evaluation of Vision-and-Language Navigation Instructions (2021) — 62 citations
- Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping (2019) — 26 citations