Zero-Shot Knowledge Distillation in Deep Networks GK Nayak, KR Mopuri, V Shaj, RV Babu, A Chakraborty International Conference on Machine Learning (ICML), 4743-4751, 2019 | 270 | 2019 |
Degan: Data-enriching gan for retrieving representative samples from a trained classifier S Addepalli, GK Nayak, A Chakraborty, VB Radhakrishnan Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3130-3137, 2020 | 43 | 2020 |
Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images A Honnalgere, G Nayak ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging: Select …, 2019 | 34 | 2019 |
Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization V Vivanco Cepeda, GK Nayak, M Shah Advances in Neural Information Processing Systems 36, 2023 | 30 | 2023 |
Effectiveness of arbitrary transfer sets for data-free knowledge distillation GK Nayak, KR Mopuri, A Chakraborty Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 22 | 2021 |
Development and comparative analysis of fuzzy inference systems for predicting customer buying behavior GK Nayak, SJ Narayanan, I Paramasivam International Journal of Engineering and Technology 5 (5), 4093-4108, 2013 | 22 | 2013 |
Depth analysis on DoS & DDoS attacks G Nayak, A Mishra, U Samal, BK Mishra Wireless Communication Security, 159-182, 2022 | 12 | 2022 |
Dad: Data-free adversarial defense at test time GK Nayak, R Rawal, A Chakraborty Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 12 | 2022 |
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data GK Nayak, KR Mopuri, S Jain, A Chakraborty IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8465 …, 2021 | 11 | 2021 |
Federated Learning on Heterogeneous Data via Adaptive Self-Distillation. M Yashwanth, G Nayak, A Singh, Y Singh, A Chakraborty arXiv preprint arXiv:2305.19600, 2023 | 3 | 2023 |
DE-CROP: Data-efficient certified robustness for pretrained classifiers GK Nayak, R Rawal, A Chakraborty Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 3 | 2023 |
Holistic approach to measure sample-level adversarial vulnerability and its utility in building trustworthy systems GK Nayak, R Rawal, R Lal, H Patil, A Chakraborty Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 3 | 2022 |
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images GK Nayak, S Jain, RV Babu, A Chakraborty 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 267-271, 2020 | 3 | 2020 |
Data-free Defense of Black Box Models Against Adversarial Attacks GK Nayak, I Khatri, R Rawal, A Chakraborty Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition R Gupta, N Akhtar, GK Nayak, A Mian, M Shah arXiv preprint arXiv:2211.13171, 2022 | 2 | 2022 |
Beyond Classification: Knowledge Distillation using Multi-Object Impressions GK Nayak, M Keswani, S Seshadri, A Chakraborty The British Machine Vision Conference (BMVC), 2021 | 2 | 2021 |
Efficient person re-identification in videos using sequence lazy greedy determinantal point process (slgdpp) GK Nayak, U Shreemali, RV Babu, A Chakraborty 2019 IEEE International Conference on Image Processing (ICIP), 4569-4573, 2019 | 2 | 2019 |
Generalized deep learning model for photovoltaic module segmentation from satellite and aerial imagery G García, A Aparcedo, GK Nayak, T Ahmed, M Shah, M Li Solar Energy 274, 112539, 2024 | 1 | 2024 |
Robust Few-Shot Learning Without Using Any Adversarial Samples GK Nayak, R Rawal, I Khatri, A Chakraborty IEEE Transactions on Neural Networks and Learning Systems, 2024 | 1 | 2024 |
Robust image geolocalization A Arularasu, PP Kulkarni, GK Nayak, M Shah Technical report, 2023. 8, 2023 | 1 | 2023 |