research
∙
09/14/2023
Efficiently Robustify Pre-trained Models
A recent trend in deep learning algorithms has been towards training lar...
share
research
∙
03/30/2023
Enhanced Stable View Synthesis
We introduce an approach to enhance the novel view synthesis from images...
research
∙
12/12/2022
Selective classification using a robust meta-learning approach
Selective classification involves identifying the subset of test samples...
research
∙
12/12/2022
Learning on non-stationary data with re-weighting
Many real-world learning scenarios face the challenge of slow concept dr...
research
∙
10/09/2022
Robustifying the Multi-Scale Representation of Neural Radiance Fields
Neural Radiance Fields (NeRF) recently emerged as a new paradigm for obj...
research
∙
11/04/2021
Graph neural network initialisation of quantum approximate optimisation
Approximate combinatorial optimisation has emerged as one of the most pr...
research
∙
08/23/2019
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
We propose a Multi-Task Learning (MTL) paradigm based deep neural networ...
research
∙
06/11/2019
From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation
We propose a comprehensive end-to-end pipeline for Twitter hashtags reco...
research
∙
03/30/2019
