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06/23/2023
Variance-Covariance Regularization Improves Representation Learning
Transfer learning has emerged as a key approach in the machine learning ...
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06/17/2022
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding
Recently, self-supervised learning (SSL) has achieved tremendous empiric...
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06/03/2022
On the duality between contrastive and non-contrastive self-supervised learning
Recent approaches in self-supervised learning of image representations c...
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03/29/2021
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
Transformer networks have revolutionized NLP representation learning sin...
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06/17/2020
3D Shape Reconstruction from Free-Hand Sketches
Sketches are the most abstract 2D representations of real-world objects....
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11/27/2019
Orthogonal Convolutional Neural Networks
The instability and feature redundancy in CNNs hinders further performan...
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10/17/2019
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces
Energy-Based Models (EBMs) outputs unmormalized log-probability values g...
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02/14/2019
