Hello! This is the website of Adam Lesnikowski
I am very interested in machine learning, active learning, deep learning, and AI. I am espeically interested in computer vision applications.
I've been at NVIDIA in Santa Clara, CA since the beginning of 2017. I am a Machine Learning Scientist working on creating optimal data sets and learning with limited labels. Towards this we are using techniques from the active learning, uncertainty and Bayesian deep learning communities, among others. I've very excited to be working on these problems with a great and passionate group of people!
Chitta, Kashyap, Jose M. Alvarez, and Adam Lesnikowski. "Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization." arXiv preprint arXiv:1811.02640 (2018). NuerIPS Workshop 2018. Link
Zheng, Jiaming, Adam Lesnikowski, and Jose M. Alvarez. "The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning." NeurIPS Workshop 2018.
Chitta, Kashyap, Jose M. Alvarez, and Adam Lesnikowski. "Large-Scale Visual Active Learning with Deep Probabilistic Ensembles." arXiv preprint arXiv:1811.03575 (2018). Link
I did my graduate work at UC Berkeley, where I was worked on mathmatical logic, large cardinals and rationality. Before that, I was at the University of Amsterdam's ILLC working on mathmatical logic, theoretical CS and AI. For my undergrad studies, I went to Harvard University, where I studied mathematics and philosophy.
You can also follow me on Twitter @lesnikow!