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2020 – today
- 2024
[c7]Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi:
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract). AAAI 2024: 23539-23541- [c6]Hemang Malik, Gaurav Pradeep, Pratinav Seth:
HGP-NLP at BioLaySumm: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers. BioNLP@ACL 2024: 831-836 - [c5]Dyutit Mohanty, Aditya Kasliwal, Bharath Udupa, Pratinav Seth:
Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation. Tiny Papers @ ICLR 2024 - [c4]Pratinav Seth, Abhilash K. Pai:
Does the Fairness of Your Pre-Training Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification. WACV (Workshops) 2024: 580-587 - [i10]Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal:
AgriLLM: Harnessing Transformers for Farmer Queries. CoRR abs/2407.04721 (2024) - 2023
- [c3]Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal:
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution. CVPR Workshops 2023: 507-514 - [c2]Pratinav Seth, Mihir Agarwal:
Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classification of Common Mental Illnesses on Social Media Posts. Tiny Papers @ ICLR 2023 - [c1]Sriya Rallabandi, Sanchit Singhal, Pratinav Seth:
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers. SemEval@ACL 2023: 1231-1236 - [i9]Pratinav Seth
, Akshat Bhandari, Kumud Lakara:
Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems. CoRR abs/2303.01268 (2023) - [i8]Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal:
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution. CoRR abs/2304.01243 (2023) - [i7]Sriya Rallabandi, Sanchit Singhal, Pratinav Seth:
SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers. CoRR abs/2304.03518 (2023) - [i6]Pratinav Seth, Mihir Agarwal:
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts. CoRR abs/2304.04539 (2023) - [i5]Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan:
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation. CoRR abs/2308.13883 (2023) - [i4]Pratinav Seth, Rashi Goel, Komal Mathur, Swetha Vemulapalli:
RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers. CoRR abs/2310.14261 (2023) - 2022
- [i3]Pratinav Seth, Adil Khan, Ananya Gupta, Saurabh Kumar Mishra, Akshat Bhandari:
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection. CoRR abs/2211.03148 (2022) - [i2]Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth:
Performance evaluation of deep segmentation models on Landsat-8 imagery. CoRR abs/2211.14851 (2022) - 2021
- [i1]Kumud Lakara, Akshat Bhandari, Pratinav Seth, Ujjwal Verma:
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data. CoRR abs/2111.04665 (2021)
Coauthor Index
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