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Publication search results
found 11 matches
- 2024
- Yash Butala, Siddhant Garg, Pratyay Banerjee, Amita Misra:
ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution. EACL (Findings) 2024: 1774-1789 - Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar:
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. KDD 2024: 1360-1371 - Nilay Patel, Shivashankar Subramanian, Siddhant Garg, Pratyay Banerjee, Amita Misra:
Towards Improved Multi-Source Attribution for Long-Form Answer Generation. NAACL-HLT 2024: 3906-3919 - Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar:
Learning label-label correlations in Extreme Multi-label Classification via Label Features. CoRR abs/2405.04545 (2024) - 2023
- Vaibhav Kashera, Siddhant Jain, Abhishek Banerjee, Suresh Purini:
Building Low-Latency Order Books with Hybrid Binary-Linear Search Data Structures on FPGAs. FPL 2023: 299-304 - Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar:
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. SIGIR 2023: 760-769 - Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren:
ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR abs/2311.00176 (2023) - 2022
- Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar:
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. NeurIPS 2022 - Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar:
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. CoRR abs/2211.00640 (2022) - 2021
- Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Rohit Babbar:
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels. CoRR abs/2109.07319 (2021) - 2019
- Prasun Chakrabarti, Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, Narendra S. Chaudhuri, Pierluigi Siano:
Business Forecasting in the Light of Statistical Approaches and Machine Learning Classifiers. ICACDS (1) 2019: 13-21
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