Harsh Rangwani

A Closer Look at Smoothness in Domain Adversarial Training

R. Venkatesh Babu, Mayank Mishra, Arihant Jain, 2022, ICML.

Improving GANs for Long-Tailed Data through Group Spectral Regularization

R. Venkatesh Babu, Varun Jampani, Tejan Karmali, 2022, ECCV.

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

R. Venkatesh Babu, Mayank Mishra, Harsh Rangwani, 2022, NeurIPS.

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs

R. Venkatesh Babu, Varun Jampani, Kartik Sharma, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Class Balancing GAN with a Classifier in the Loop

R. Venkatesh Babu, Konda Reddy Mopuri, Harsh Rangwani, 2021, UAI.

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

R. Venkatesh Babu, Arihant Jain, Harsh Rangwani, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs

R. Venkatesh Babu, Varun Jampani, M. Singh, 2022, ECCV.

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

Anil Kumar Singh, Devang Kulshreshtha, Harsh Rangwani, 2018, *SEMEVAL.

Strata-NeRF : Neural Radiance Fields for Stratified Scenes

R. Venkatesh Babu, Lokesh R. Boregowda, Srinath Sridhar, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Venkatesh Babu Radhakrishnan, Y. Umeda, S. Takemori, 2023, Neural Information Processing Systems.