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Papers Under Communication (2022)

• A Self Critique Cooperative Classifier for Legal Text Classification, Sailaja Rajanala, Arghya Pal, Manish Singh, Raphaël C-W Phan, and KokSheik Wong, under communication

• Variational Inference Distinguishers based on Autoencoders for the Round-Reduced Speck32/64 Cipher, Arghya Pal, Sailaja Rajanala, Raphaël C-W Phan, and KokSheik Wong, under communication in NeurIPS 2022

Papers Accepted

2022

• Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning, Sailaja Rajanala, Arghya Pal, Raphaël C-W Phan, and KokSheik Wong, ACM Multimedia 2022, A* Conference

• DeSCoVeR : Debiased Semantic Context Prior for Venue Recommendation, Sailaja Rajanala, Arghya Pal, Manish Singh, Raphaël C-W Phan, and KokSheik Wong, Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), A* Conference

• A domain-agnostic MR reconstruction framework using a randomly weighted neural network, Arghya Pal, Yogesh Rathi, ISMRM 2022, ORAL presentation

2021

• Understanding and Reducing structural bias in deep learning-based MR recon, Arghya Pal, Yogesh Rathi, ISMRM 2022

• A review and experimental evaluation of deep learning methods for mri reconstruction, Arghya Pal, Yogesh Rathi, Accepted for publication at the Journal of Machine Learning for Biomedical Imaging. 2022:2022:001. pp 1-58 Submitted 09/2021; Published 02/2022
[Paper | Project Page]

• Synthesize-It-Classifier: Learning a Generative Classifier through Recurrent Self-analysis, Arghya Pal, Raphaël C-W Phan, and KokSheik Wong, CVPR 2021,
[Paper | Project Page | Video]

2020

• Beyond Full Supervision Alternate Perspectives to Learning with Limited Supervision in Deep Neural Network Models”, Arghya Pal, Thesis Submitted to IIT Hyderabad.

• Generative Adversarial Data Programming, Submitted under Review, 2020
[Paper | Project Page]

• Zero-shot Task Transfer ((Book Chapter)), Arghya Pal, Vineeth N Balasubramanian, Introduction to Domain Adaptation, DOI: 10.1007/978-3-030-45529-3_1, Springer,
[Paper | Project Page | Video]

Previous Papers

• Zero-shot Task Transfer,
Arghya Pal*, Vineeth N Balasubramanian
(Oral Paper) Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR’19), Jun 2019.
[ Paper | Project Page]

• C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis,
oseph K.J, Arghya Pal*, S. Rajanala, Vineeth N Balasubramanian
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV’19), Jan 2019
[ Paper | Project Page]

• Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data,
Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR’18), Jun 2018.
[Paper | Project Page]

• Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras
D Bhatt, D Sodhi, Arghya Pal*, V. Balasubramanian, M Krishna
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
[Semantic Scholar Link | Project Page]

Other Publications:

• Zero Shot Adversarial Data Programming
oseph K.J, Arghya Pal*, S. Rajanala, Vineeth N Balasubramanian
in Workshop on Towards learning with limited labels: Equivariance, Invariance, and Beyond (Workshop @ FAIM/ICML 2018) at International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul 2018.
• Zero-Shot Image Generation by Distilling Concepts from Multiple Captions
Joseph K.J, Arghya Pal*, S. Rajanala, Vineeth N Balasubramanian
in Workshop on Towards learning with limited labels: Equivariance, Invariance, and Beyond (Workshop @ FAIM/ICML 2018) at International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul 2018.
[ Paper | Project Page]
• Online Bengali handwritten numerals recognition using Deep Autoencoders
Arghya Pal*, BK Khonglah, S Mandal, H Choudhury, SRM Prasanna, HL Rufiner, V. Balasubramanian
Twenty Second National Conference on Communication (NCC), 2016
[ Paper | Project Page]

• Recognition of online handwritten Bangla characters using hierarchical system with denoising autoencoders
Arghya Pal*, Jyoti D Pawar
IEEE/International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 2015
[ Paper | Project Page]

• Speech emotion recognition using deep dropout autoencoders
Arghya Pal*, S Baskar
IEEE/International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 2015
[ Paper | Project Page]

• Bengali handwritten numeric character recognition using denoising autoencoders
Arghya Pal*
IEEE/International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 2015
[ Paper | Project Page]