Harsh Rangwani
Harsh Rangwani
PhD Student, Indian Institute of Science
Verified email at - Homepage
Cited by
Cited by
A Closer Look at Smoothness in Domain Adversarial Training
H Rangwani, SK Aithal, A Jain, VB Radhakrishnan
ICML 2022, 2021
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
H Rangwani, A Jain, SK Aithal, RV Babu
ICCV 2021, 7516-7525, 2021
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets
H Rangwani, D Kulshreshtha, AK Singh
SemEval 2018, 638-642, 2018
Escaping saddle points for effective generalization on class-imbalanced data
H Rangwani, SK Aithal, M Mishra
NeurIPS 2022 35, 22791-22805, 2022
Class Balancing GAN with a Classifier in the Loop
H Rangwani, KR Mopuri, RV Babu
UAI 2021, 2021
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
S Trivedi, H Rangwani, AK Singh
Codeswitch@ACL2018, 148-153, 2018
Improving GANs for Long-Tailed Data through Group Spectral Regularization
H Rangwani, N Jaswani, T Karmali, V Jampani, RV Babu
ECCV 2022, 2022
Noisytwins: Class-consistent and diverse image generation through stylegans
H Rangwani, L Bansal, K Sharma, T Karmali, V Jampani, RV Babu
CVPR 2023, 5987-5996, 2023
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
T Karmali, R Parihar, S Agrawal, H Rangwani, V Jampani, M Singh, ...
ECCV 2022, 443-459, 2022
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
H Rangwani, S Ramasubramanian, S Takemori, K Takashi, Y Umeda, ...
NeurIPS 2022 35, 26994-27007, 2022
Selmix: Selective mixup fine tuning for optimizing non-decomposable metrics
S Ramasubramanian, H Rangwani, S Takemori, K Samanta, Y Umeda, ...
ICML 2023 Workshop on Differentiable Almost Everything: Differentiable …, 2023
Strata-NeRF: Neural Radiance Fields for Stratified Scenes
A Dhiman, R Srinath, H Rangwani, R Parihar, LR Boregowda, S Sridhar, ...
ICCV 2023, 17603-17614, 2023
Certified Adversarial Robustness Within Multiple Perturbation Bounds
S Nandi, S Addepalli, H Rangwani, RV Babu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Crafting Parts for Expressive Object Composition
H Rangwani, A Agarwal, K Kulkarni, RV Babu, S Karanam
arXiv preprint arXiv:2406.10197, 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
H Rangwani, P Mondal, M Mishra, AR Asokan, RV Babu
CVPR 2024, 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
S Ramasubramanian, H Rangwani, S Takemori, K Samanta, Y Umeda, ...
ICLR (SpotLight) 2024, 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
M Yashwanth, GK Nayak, H Rangwani, A Singh, RV Babu, A Chakraborty
WACV 2024, 2287-2296, 2024
Information processing apparatus and machine learning method
S Takemori, T Katoh, Y Umeda, H Rangwani, S Ramasubramanian, ...
US Patent App. 18/199,443, 2023
Supplementary material for “Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning”
M Yashwanth, GK Nayak, H Rangwani, A Singh, RV Babu, A Chakraborty
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