Harsh Rangwani

According to our database, Harsh Rangwani authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives.

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

CoRR, 2024

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.

M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Strata-NeRF : Neural Radiance Fields for Stratified Scenes.

Ankit Dhiman, Srinath R, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu

CoRR, 2023

Strata-NeRF : Neural Radiance Fields for Stratified Scenes.

Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs.

Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Certified Adversarial Robustness Within Multiple Perturbation Bounds.

Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.

Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Closer Look at Smoothness in Domain Adversarial Training.

Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan

Proceedings of the International Conference on Machine Learning, 2022

Improving GANs for Long-Tailed Data Through Group Spectral Regularization.

Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2022, 2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.

Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Class balancing GAN with a classifier in the loop.

Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

S³VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation.

Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets.

Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data.

Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh

Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018