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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
An incomplete and slightly outdated literature review on augmentation based self-supervise learning
Published:
How I learned to stop worrying and write ELBO (and its gradients) in a billion ways
Published:
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Gaussian Process, not quite for dummies
Published:
Before diving in
For a long time, I recall having this vague impression about Gaussian Processes (GPs) being able to magically define probability distributions over sets of functions, yet I procrastinated reading up about them for many many moons. However, as always, I’d like to think that this is not just due to my procrastination superpowers. Whenever I look up “Gaussian Process” on Google, I find these well-written tutorials with vivid plots that explain everything up until non-linear regression in detail, but shy away at the very first glimpse of any sort of information theory. The key takeaway is always,
A Gaussian process is a probability distribution over possible functions that fit a set of points.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Action Anticipation with RBF Kernelized Feature Mapping RNN
Published in ECCV, 2018
In this paper, we introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN.
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Published in Neurips, 2019
We propose a mixture-of-experts multimodal variational autoencoder (MMVAE) for learning of generative models on modality pairs, including image-image and language-vision dataset.
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Published in ICLR, 2021
We develop a novel contrastive framework for multimodal generative model learning, allowing us to train the model not just by the commonality between modalities, but by the distinction between ‘relatedand 'unrelated multimodal data.
Gradient Matching for Domain Generalisation
Published in arxiv, 2021
We propose an inter-domain gradient matching objective that targets domain generalization by maximising the inner product between gradients from different domains. We also derive a simpler first-order algorithm named Fish that approximates the computation of second-order derivative.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.