Valts Blukis
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 8 papers; trusts 337 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 199 citations into it; #18,501 of 35,345 by trust here, #6,468 by citations
- Computer Vision and Pattern Recognition — 173 citations into it; #11,649 of 21,575 by trust here, #4,658 by citations
- Reinforcement Learning — 117 citations into it; #1,979 of 2,242 by trust here, #1,545 by citations
- Natural Language Processing — 116 citations into it; #3,835 of 5,688 by trust here, #2,307 by citations
- Control and Systems Engineering — 61 citations into it
- Model Architectures — 31 citations into it
- Robotics & Control — 30 citations into it
- Aerospace Engineering — 26 citations into it; #5,651 of 6,421 by trust here, #4,388 by citations
Whom Valts Blukis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Sergey Levine
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Dipendra Kumar Misra
- Yann LeCun
- Ilya Sutskever
- Jimmy Ba
Who trusts Valts Blukis overall
- Mohit Shridhar
- Pratyusha Sharma
- Chan Hee Song
- Ross A. Knepper
- Yoav Artzi
- So Yeon Min
- Siddharth Karamcheti
- Dieter Fox
- Lucas Manuelli
- Wenlong Huang
Papers from Valts Blukis's perspective
Ordered by how strongly the researchers Valts Blukis 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- ProgPrompt: Generating Situated Robot Task Plans using Large Language Models (2022) — 1,032 citations
- Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction (2018) — 200 citations
- Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight (2019) — 82 citations
- A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution (2021) — 170 citations
- Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following (2020) — 37 citations
- Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning (2018) — 66 citations
- RVT: Robotic View Transformer for 3D Object Manipulation (2023) — 299 citations
- Correcting Robot Plans with Natural Language Feedback (2022) — 128 citations