Software Developer and Machine Learning Engineer looking for applicable experience in the following areas: General Artificial Intelligence, Computer Vision, Natural Language Processing, Computational Physics, and Light Transport Simulation.

Reading List:

"Why do tree-based models still outperform deep learning on tabular data?" (Grinsztajn, L. et al., 2022)

"data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" (Baevski, A. et al., 2022)

"IPFS - Content Addressed, Versioned, P2P File System" (Benet, J. 2014)

"Learning to Generate Reviews and Discovering Sentiment" (Radford, A. et al., 2017)

"Language Models are Unsupervised Multitask Learners" (Radford, A. et al., 2019)

"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" (Devlin, J. et al., 2019)

"Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos" (Baker, B. et al., 2022)

"Vision Transformers for Dense Prediction" (Ranftl, R. et al., 2021)

"Few-Shot Learning with Siamese Networks and Label Tuning" (Muller, T. et al., 2022)

"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale" (Dosovitskiy, A. et al., 2020)

"Attention is All you Need" (Vaswani, A. et al., 2017)