IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data. - Shashwat Trivedi; Harsh Rangwani; Anil Kumar Singh 001 (CodeSwitch@ACL, 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 001 (SemEval@NAACL-HLT, 2018)

S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. - Harsh Rangwani; Arihant Jain; Sumukh K. Aithal; R. Venkatesh Babu (ICCV, 2021)

Class balancing GAN with a classifier in the loop. - Harsh Rangwani; Konda Reddy Mopuri; R. Venkatesh Babu (UAI, 2021)

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. - Tejan Karmali; Rishubh Parihar; Susmit Agrawal; Harsh Rangwani; Varun Jampani; Maneesh Kumar Singh 001; R. Venkatesh Babu (ECCV (15), 2022)

Improving GANs for Long-Tailed Data Through Group Spectral Regularization. - Harsh Rangwani; Naman Jaswani; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (ECCV (15), 2022)

A Closer Look at Smoothness in Domain Adversarial Training. - Harsh Rangwani; Sumukh K. Aithal; Mayank Mishra; Arihant Jain; Venkatesh Babu Radhakrishnan (ICML, 2022)

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. - Harsh Rangwani; Sumukh K. Aithal; Mayank Mishra; Venkatesh Babu R. (NeurIPS, 2022)

Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. - Harsh Rangwani; Shrinivas Ramasubramanian; Sho Takemori; Kato Takashi; Yuhei Umeda; Venkatesh Babu R. (NeurIPS, 2022)

Certified Adversarial Robustness Within Multiple Perturbation Bounds. - Soumalya Nandi; Sravanti Addepalli; Harsh Rangwani; R. Venkatesh Babu (CVPR Workshops, 2023)

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. - Harsh Rangwani; Lavish Bansal; Kartik Sharma; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (CVPR, 2023)

Strata-NeRF : Neural Radiance Fields for Stratified Scenes. - Ankit Dhiman; R. Srinath; Harsh Rangwani; Rishubh Parihar; Lokesh R. Boregowda; Srinath Sridhar 002; R. Venkatesh Babu (ICCV, 2023)

Strata-NeRF : Neural Radiance Fields for Stratified Scenes. - Ankit Dhiman; Srinath R; Harsh Rangwani; Rishubh Parihar; Lokesh R. Boregowda; Srinath Sridhar 002; R. Venkatesh Babu (CoRR, 2023)

DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. - Harsh Rangwani; Pradipto Mondal; Mayank Mishra; Ashish Ramayee Asokan; R. Venkatesh Babu (CVPR, 2024)

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. - Shrinivas Ramasubramanian; Harsh Rangwani; Sho Takemori; Kunal Samanta; Yuhei Umeda; Venkatesh Babu Radhakrishnan (ICLR, 2024)

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. - M. Yashwanth; Gaurav Kumar Nayak; Harsh Rangwani; Arya Singh; R. Venkatesh Babu; Anirban Chakraborty 001 (WACV, 2024)

Crafting Parts for Expressive Object Composition. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CoRR, 2024)

Composing Parts for Expressive Object Generation. - Harsh Rangwani; Aishwarya Agarwal; Kuldeep Kulkarni; R. Venkatesh Babu; Srikrishna Karanam (CVPR, 2025)

Learning from Limited and Imperfect Data. - Harsh Rangwani (CoRR, 2025)