Siddhartha Brahma

According to our database, Siddhartha Brahma authored at least 38 papers between 2004 and 2024.

Collaborative distances:

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

2024

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

J. Mach. Learn. Res., 2024

2023

Instruction-Following Evaluation for Large Language Models.

Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, Le Hou

CoRR, 2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.

Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

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

CoLT5: Faster Long-Range Transformers with Conditional Computation.

Joshua Ainslie, Tao Lei, Michiel de Jong, Santiago Ontañón, Siddhartha Brahma, Yury Zemlyanskiy, David C. Uthus, Mandy Guo, James Lee-Thorp, Yi Tay, Yun-Hsuan Sung, Sumit Sanghai

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Multi-Vector Retrieval as Sparse Alignment.

Yujie Qian, Jinhyuk Lee, Sai Meher Karthik Duddu, Zhuyun Dai, Siddhartha Brahma, Iftekhar Naim, Tao Lei, Vincent Y. Zhao

CoRR, 2022

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

CoRR, 2022

Breaking BERT: Evaluating and Optimizing Sparsified Attention.

Siddhartha Brahma, Polina Zablotskaia, David Mimno

CoRR, 2022

2020

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation.

Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li

CoRR, 2020

Small but Mighty: New Benchmarks for Split and Rephrase.

Li Zhang, Huaiyu Zhu, Siddhartha Brahma, Yunyao Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification.

Prithviraj Sen, Marina Danilevsky, Yunyao Li, Siddhartha Brahma, Matthias Boehm, Laura Chiticariu, Rajasekar Krishnamurthy

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling.

Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

On Efficiently Processing Workflow Provenance Queries in Spark.

Rajmohan C, Pranay Lohia, Himanshu Gupta, Siddhartha Brahma, Mauricio A. Hernández, Sameep Mehta

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Improved Language Modeling by Decoding the Past.

Siddhartha Brahma

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

REGMAPR - Text Matching Made Easy

Siddhartha Brahma

CoRR, 2018

Unsupervised Learning of Sentence Representations Using Sequence Consistency.

Siddhartha Brahma

CoRR, 2018

Suffix Bidirectional Long Short-Term Memory.

Siddhartha Brahma

CoRR, 2018

On the scaling of polynomial features for representation matching.

Siddhartha Brahma

CoRR, 2018

SufiSent - Universal Sentence Representations Using Suffix Encodings.

Siddhartha Brahma

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

On the Complexity of Scheduling in Half-Duplex Diamond Networks.

Siddhartha Brahma, Christina Fragouli, Ayfer Özgür

IEEE Trans. Inf. Theory, 2016

Consistency in the face of change: an adaptive approach to physical layer cooperation.

Ayan Sengupta, Yahya H. Ezzeldin, Siddhartha Brahma, Christina Fragouli, Suhas N. Diggavi

CoRR, 2016

Reliability-bandwidth tradeoffs for distributed storage allocations.

Siddhartha Brahma, Hugues Mercier

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Low Complexity Scheduling and Coding for Wireless Networks.

Siddhartha Brahma

PhD thesis, 2015

Pliable Index Coding.

Siddhartha Brahma, Christina Fragouli

IEEE Trans. Inf. Theory, 2015

2014

Switched local schedules for diamond networks.

Siddhartha Brahma, Ayan Sengupta, Christina Fragouli

Proceedings of the 2014 IEEE Information Theory Workshop, 2014

Efficient subnetwork selection in relay networks.

Siddhartha Brahma, Ayan Sengupta, Christina Fragouli

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

A simple relaying strategy for diamond networks.

Siddhartha Brahma, Christina Fragouli

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Structure of optimal schedules in diamond networks.

Siddhartha Brahma, Christina Fragouli

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

QUILT: A Decode/Quantize-Interleave-Transmit approach to cooperative relaying.

Siddhartha Brahma, Melissa Duarte, Ayan Sengupta, I-Hsiang Wang, Christina Fragouli, Suhas N. Diggavi

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

2013

Quantize-map-forward (QMF) relaying: an experimental study.

Melissa Duarte, Ayan Sengupta, Siddhartha Brahma, Christina Fragouli, Suhas N. Diggavi

Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013

Pliable Index Coding: The multiple requests case.

Siddhartha Brahma, Christina Fragouli

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On the structure of approximately optimal schedules for half-duplex diamond networks.

Siddhartha Brahma, Christina Fragouli, Ayfer Özgür

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Simple schedules for half-duplex networks.

Siddhartha Brahma, Ayfer Özgür, Christina Fragouli

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Graph-based codes for Quantize-Map-and-Forward relaying.

Ayan Sengupta, Siddhartha Brahma, Ayfer Özgür, Christina Fragouli, Suhas N. Diggavi

Proceedings of the 2011 IEEE Information Theory Workshop, 2011

2005

Landcover classification in MRF context using Dempster-Shafer fusion for multisensor imagery.

Anjan Sarkar, Anjan Banerjee, Nilanjan Banerjee, Siddhartha Brahma, B. Kartikeyan, Manab Chakraborty, Kantilal L. Majumder

IEEE Trans. Image Process., 2005

2004

A new and novel method for computing an upper bound on the distance of an approximate zero from an exact zero of a univariate polynomial.

Siddhartha Brahma, P. H. D. Ramakrishna, Sudebkumar Prasant Pal

Int. J. Comput. Math., 2004

A MRF Based Segmentatiom Approach to Classification Using Dempster Shafer Fusion for Multisensor Imagery.

Anjan Sarkar, Nilanjan Banerjee, P. Nair, Anjan Banerjee, Siddhartha Brahma, B. Kartikeyan, Kantilal L. Majumder

Proceedings of the Image Analysis and Recognition: International Conference, 2004

Fair Leader Election by Randomized Voting.

Siddhartha Brahma, Sandeep Macharla, Sudebkumar Prasant Pal, Sudhir Kumar Singh

Proceedings of the Distributed Computing and Internet Technology, 2004