Arnav Chavan
Arnav Chavan
NyunAI | IIT Dhanbad
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Cited by
Cited by
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
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
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
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations
R Tiwari, U Bamba, A Chavan, DK Gupta
ICLR 2021, 2021
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations
O Rippel, A Chavan, C Lei, D Merhof
IMPROVE 2021, 2021
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
A Chavan, R Tiwari, U Bamba, DK Gupta
CVPR 2022, 2022
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
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection
S Jadhav, U Bamba, A Chavan, R Tiwari, A Raj
EndoCV@ISBI 2020, 2020
A new method for quantification of retinal blood vessel characteristics
A Chavan, G Mago, V Lakshminarayanan
Ophthalmic Technologies, 2021
Patch Gradient Descent: Training Neural Networks on Very Large Images
DK Gupta, G Mago, A Chavan, DK Prasad
WANT@NeurIPS 2023, 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
Rescaling CNN through Learnable Repetition of Network Parameters
A Chavan, U Bamba, R Tiwari, D Gupta
ICIP 2021, 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
Is there a relationship between retinal blood vessel characteristics and myopia?
JJ Balaji, A Chavan, G Mago, V Lakshminarayanan
Ophthalmic Technologies, 2021
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
A Chavan, N Lele, D Gupta
arXiv preprint arXiv:2405.13039, 2024
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures
A Chavan, D Gupta
ICLR 2024 (Tiny Paper Track), 2024
Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models
A Chavan, N Lele, D Gupta
ICLR 2024 (Tiny Paper Track), 2023
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
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