Harsh Rangwani

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Latent Semantics

Image Generation

Photometric Properties

Top Venues

Publications

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR (2024)
M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV (2024)
Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CoRR (2024)
Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
Crafting Parts for Expressive Object Composition. CoRR (2024)
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR (2024)
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR (2023)
Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. ICCV (2023)
Ankit Dhiman, Srinath R, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. CoRR (2023)
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. CVPR (2023)
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops (2023)
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs. CoRR (2023)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR (2023)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan
A Closer Look at Smoothness in Domain Adversarial Training. ICML (2022)
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) (2022)
Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
Improving GANs for Long-Tailed Data Through Group Spectral Regularization. ECCV (15) (2022)
Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
Improving GANs for Long-Tailed Data through Group Spectral Regularization. CoRR (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu
A Closer Look at Smoothness in Domain Adversarial Training. CoRR (2022)
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. NeurIPS (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR (2022)
Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu R.
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. NeurIPS (2022)
Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. ICCV (2021)
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
Class balancing GAN with a classifier in the loop. UAI (2021)
Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. CoRR (2021)
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
Class Balancing GAN with a Classifier in the Loop. CoRR (2021)
Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets. SemEval@NAACL-HLT (2018)
Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data. CodeSwitch@ACL (2018)