| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical Image Analysis, 2021 | 131 | 2021 |
| Vision transformer slimming: Multi-dimension searching in continuous optimization space A Chavan, Z Shen, Z Liu, Z Liu, KT Cheng, EP Xing CVPR 2022, 2022 | 73 | 2022 |
| One-for-all: Generalized lora for parameter-efficient fine-tuning A Chavan, Z Liu, D Gupta, E Xing, Z Shen arXiv preprint arXiv:2306.07967, 2023 | 59 | 2023 |
| ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations R Tiwari, U Bamba, A Chavan, DK Gupta ICLR 2021, 2021 | 35 | 2021 |
| Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations O Rippel, A Chavan, C Lei, D Merhof IMPROVE 2021, 2021 | 15 | 2021 |
| A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models K Ramesh, A Chavan, S Pandit, S Sitaram ACL 2023, 2023 | 11 | 2023 |
| Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning A Chavan, R Tiwari, U Bamba, DK Gupta CVPR 2022, 2022 | 8 | 2022 |
| Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection S Jadhav, U Bamba, A Chavan, R Tiwari, A Raj EndoCV@ISBI 2020, 2020 | 4 | 2020 |
| A new method for quantification of retinal blood vessel characteristics A Chavan, G Mago, V Lakshminarayanan Ophthalmic Technologies, 2021 | 3 | 2021 |
| Rescaling CNN through Learnable Repetition of Network Parameters A Chavan, U Bamba, R Tiwari, D Gupta ICIP 2021, 2021 | 3 | 2021 |
| Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward A Chavan, R Magazine, S Kushwaha, M Debbah, D Gupta IJCAI 2024 Survey Track, 2024 | 2 | 2024 |
| Patch Gradient Descent: Training Neural Networks on Very Large Images DK Gupta, G Mago, A Chavan, DK Prasad WANT@NeurIPS 2023, 2023 | 2 | 2023 |
| On designing light-weight object trackers through network pruning: Use CNNs or transformers? S Aggarwal, T Gupta, PK Sahu, A Chavan, R Tiwari, DK Prasad, ... ICASSP 2023, 2023 | 2 | 2023 |
| Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models A Chavan, N Lele, D Gupta ICLR 2024 (Tiny Paper Track), 2023 | 1 | 2023 |
| Is there a relationship between retinal blood vessel characteristics and myopia? JJ Balaji, A Chavan, G Mago, V Lakshminarayanan Ophthalmic Technologies, 2021 | 1 | 2021 |
| Surgical Feature-Space Decomposition of LLMs: Why, When and How? A Chavan, N Lele, D Gupta ACL 2024, 2024 | | 2024 |
| Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures A Chavan, D Gupta ICLR 2024 (Tiny Paper Track), 2024 | | 2024 |
| RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning R Tiwari, A Chavan, D Gupta, G Mago, A Gupta, A Gupta, S Sharan, ... RCV@ICCV 2023, 2023 | | 2023 |
| Pushing the Limits of Gradient Descent for Efficient Learning on Large Images DK Gupta, G Mago, A Chavan, D Prasad, RM Thomas | | |
Deepak GuptaAIQ | IIT DhanbadVerified email at iitism.ac.in
