Interpretable Representation Learning for Visual Intelligence – Bolei Zhou of MIT
Bolei Thesis Defense: Interpretable Representation Learning for Visual Intelligence.
MedAI #56: Fundamentals of Multimodal Representation Learning | Paul Pu Liang
CVPR21 paper 'Where and What? Examining Interpretable Disentangled Representations'
5 mins spotlight: Visual Commonsense Representation Learning via Causal Inference
Interpretable Representations and Neuro-symbolic Methods in Deep Learning | Jan Stühmer
Simple explanation of disentanglement ft. cute doggos & state-of-the-art work
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
SFI Visual intelligence
Molecule Representation Learning: A Perspective from Topology, Geometry, and Textual Description
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time
【MIR Series】Causal Reasoning Meets Visual Representation Learning: A Prospective Study
Information Bottleneck for Understanding DNN in Training & Decision-Making Processes:Shujian Yu(UiT)
Relaxing Contrastiveness in Multimodal Representation Learning
CVPR'20 Tutorial on Interpretable Machine Learning: Opening Remark
Ruth Fong: Directions in interpretability
Dimanov Botty - Interpretable Deep Learning
🤖Convolutional Neural Networks (CNNs) by #andrewtate and #donaldtrump
Understanding embeddings in one minute #GenerativeAI
Keynote ViktoriiaSharmanska - Discovering Fair Interpretable Representations in Visual Data
