R, Venkatesh Babu

9 publications

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 Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli, Samyak Jain, Venkatesh Babu R

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

NeurIPS 2022 Subsidiary Prototype Alignment for Universal Domain Adaptation Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R

NeurIPS 2021 Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery Ramesha Rakesh Mugaludi, Jogendra Nath Kundu, Varun Jampani, Venkatesh Babu R

NeurIPS 2021 Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna Ym, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R

NeurIPS 2021 Towards Efficient and Effective Adversarial Training Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R

NeurIPS 2020 Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R

NeurIPS 2020 Your Classifier Can Secretly Suffice Multi-Source Domain Adaptation Naveen Venkat, Jogendra Nath Kundu, Durgesh Singh, Ambareesh Revanur, Venkatesh Babu R