Atmadeep Banerjee

According to our database, Atmadeep Banerjee authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning label-label correlations in Extreme Multi-label Classification via Label Features.

Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar

CoRR, 2024

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images.

Jia Wan, Wanhua Li, Atmadeep Banerjee, Jason Ken Adhinarta, Evelina Sjostedt, Jingpeng Wu, Jeff Lichtman, Hanspeter Pfister, Donglai Wei

CoRR, 2024

Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features.

Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification.

Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors.

Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Revisiting RCAN: Improved Training for Image Super-Resolution.

Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister

CoRR, 2022

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification.

Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Embedding Convolutions for Short Text Extreme Classification with Millions of Labels.

Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Rohit Babbar

CoRR, 2021

Combinets v2: Improving Conceptual Expansion using SGD.

Atmadeep Banerjee

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

Meta-DRN: Meta-Learning for 1-Shot Image Segmentation.

Atmadeep Banerjee

CoRR, 2020

MXR-U-Nets for Real Time Hyperspectral Reconstruction.

Atmadeep Banerjee, Akash Palrecha

CoRR, 2020

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image.

Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020