Search Results for author: Chaitanya Devaguptapu

Found 6 papers, 3 papers with code

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation

no code implementations27 Aug 2023 Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, VSSV Prasad, Charu Sharma, Manohar Kaul

Recently, the fundamental problem of unsupervised domain adaptation (UDA) on 3D point clouds has been motivated by a wide variety of applications in robotics, virtual reality, and scene understanding, to name a few.

Contrastive Learning Point Cloud Classification +2

Learning Modular Structures That Generalize Out-of-Distribution

no code implementations7 Aug 2022 Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian

generalization remains to be a key challenge for real-world machine learning systems.

On Initial Pools for Deep Active Learning

1 code implementation30 Nov 2020 Akshay L Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N Balasubramanian

While recent studies have focused on evaluating the robustness of various query functions in AL, little to no attention has been given to the design of the initial labeled pool for deep active learning.

Active Learning

On Adversarial Robustness: A Neural Architecture Search perspective

1 code implementation16 Jul 2020 Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian

We show that NAS, which is popular for achieving SoTA accuracy, can provide adversarial accuracy as a free add-on without any form of adversarial training.

Adversarial Robustness Neural Architecture Search

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