Steven Van Vaerenbergh
Educational videos about machine learning.
RevEye Reverse Image Search 2
ChatGPT 4 system prompt (December 16, 2023)
GitHub Copilot demonstration October 2023 (part 1)
Demo of ChatGPT's visual capabilities (Oct. 2023)
Demo of ChatGPT's Advanced Data Analysis (Oct. 2023)
Geometric reasoning with ChatGPT and GeoGebra, part 2
Copilot demonstration April 2023
Using ChatPDF to chat with an astrophysics paper
Using D-ID to create a talking avatar video
Using ChatPDF to automatically generate Python code from pseudocode in an academic article
Geometric reasoning with ChatGPT and GeoGebra, part 1
RevEye Reverse Image Search
Aki Vehtari: Stan and probabilistic programming (MLSP 2020 tutorial)
Razvan Pascanu: Improving learning efficiency for deep neural networks (MLSP 2020 keynote)
Michael Unser: Splines and Machine Learning: From classical RKHS methods to DNN (MLSP 2020 keynote)
Truyen Tran - Learning to Remember More with Less Memorization (ICLR 2019 talk)
Robert Geirhos: ImageNet-trained CNNs are biased towards texture (ICLR 2019 talk)
John M. Abowd: The U.S. Census Bureau Tries to be a Good Data Steward in the 21st Century
ICLR Debate with Leslie Kaelbling (ICLR 2019)
Yikang Shen: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks (ICLR2019)
Pierre-Yves Oudeyer: Developmental Autonomous Learning (ICLR 2019 invited talk)
Ian Goodfellow: Adversarial Machine Learning (ICLR 2019 invited talk)
J. Frankle & M. Carbin: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Susan Athey: Counterfactual Inference (NeurIPS 2018 Tutorial)
Alex Graves and Marc'Aurelio Ranzato: Unsupervised Deep Learning (NeurIPS 2018 Tutorial)
Frank Hutter and Joaquin Vanschoren: Automatic Machine Learning (NeurIPS 2018 Tutorial)