Harsh Rangwani | DeepAI

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∙ 08/20/2023

Strata-NeRF : Neural Radiance Fields for Stratified Scenes

Neural Radiance Field (NeRF) approaches learn the underlying 3D represen...

0 Ankit Dhiman, et al. ∙

∙ 04/28/2023

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics

Self-training based semi-supervised learning algorithms have enabled the...

0 Harsh Rangwani, et al. ∙

∙ 04/20/2023

Certified Adversarial Robustness Within Multiple Perturbation Bounds

Randomized smoothing (RS) is a well known certified defense against adve...

0 Soumalya Nandi, et al. ∙

∙ 04/12/2023

NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs

StyleGANs are at the forefront of controllable image generation as they ...

0 Harsh Rangwani, et al. ∙

∙ 12/28/2022

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

Real-world datasets exhibit imbalances of varying types and degrees. Sev...

9 Harsh Rangwani, et al. ∙

∙ 08/21/2022

Improving GANs for Long-Tailed Data through Group Spectral Regularization

Deep long-tailed learning aims to train useful deep networks on practica...

5 Harsh Rangwani, et al. ∙

∙ 08/07/2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs

Progress in GANs has enabled the generation of high-resolution photoreal...

8 Tejan Karmali, et al. ∙

∙ 06/16/2022

A Closer Look at Smoothness in Domain Adversarial Training

Domain adversarial training has been ubiquitous for achieving invariant ...

6 Harsh Rangwani, et al. ∙

∙ 09/18/2021

S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation

Unsupervised domain adaptation (DA) methods have focused on achieving ma...

5 Harsh Rangwani, et al. ∙

∙ 06/17/2021

Class Balancing GAN with a Classifier in the Loop

Generative Adversarial Networks (GANs) have swiftly evolved to imitate i...

10 Harsh Rangwani, et al. ∙

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