Mayank Mishra

According to our database, Mayank Mishra authored at least 62 papers between 2004 and 2024.

Collaborative distances:

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2024

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

CoRR, 2024

Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler.

Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda

CoRR, 2024

Scaling Granite Code Models to 128K Context.

Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

Enhancing Training Efficiency Using Packing with Flash Attention.

Achintya Kundu, Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti, Mayank Mishra

CoRR, 2024

The infrastructure powering IBM's Gen AI model development.

Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang

CoRR, 2024

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.

William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley

CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models.

Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda

CoRR, 2024

Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization.

Aniruddha Nrusimha, Mayank Mishra, Naigang Wang, Dan Alistarh, Rameswar Panda, Yoon Kim

CoRR, 2024

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.

Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo

CoRR, 2024

StarCoder 2 and The Stack v2: The Next Generation.

Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

Leftovers for LLaMA.

Ravi Kumar Singh, Likhith Bandamudi, Shruti Kunde, Mayank Mishra, Rekha Singhal

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

LLaMPS: Large Language Models Placement System.

Likhith Bandamudi, Ravi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.

Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets.

Harsh Rangwani, Pradipto Mondal, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱.

Archisman Bhowmick, Mayank Mishra, Rekha Singhal

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation.

Mayank Mishra, Umesh Chandra Pati

Biomed. Signal Process. Control., July, 2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

SantaCoder: don't reach for the stars!

Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra

CoRR, 2023

Accelerating Model Training: Performance Antipatterns Eliminator Framework.

Ravi Kumar Singh, Mayank Mishra, Rekha Singhal

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Scalable High-Performance Architecture for Evolving Recommender System.

Ravi Kumar Singh, Mayank Mishra, Rekha Singhal

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Prompting with Pseudo-Code Instructions.

Mayank Mishra, Prince Kumar, Riyaz Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam

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

Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog.

Mayank Mishra, Danish Contractor, Dinesh Raghu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

MAPLE: Model Aggregation and Prediction for Learned Ecosystem.

Chetan Phalak, Dheeraj Chahal, Aniruddha Sen, Mayank Mishra, Rekha Singhal

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data.

Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.

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

Variational Learning for Unsupervised Knowledge Grounded Dialogs.

Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Closer Look at Smoothness in Domain Adversarial Training.

Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan

Proceedings of the International Conference on Machine Learning, 2022

Pay-as-you-Train: Efficient ways of Serverless Training.

Dheeraj Chahal, Mayank Mishra, Surya Chaitanya Palepu, Ravi Kumar Singh, Rekha Singhal

Proceedings of the IEEE International Conference on Cloud Engineering, 2022

Metamodel driven acceleration of actor-based simulation.

Chetan Phalak, Mayank Mishra, Shruti Kunde, Rekha Singhal, Sana Iqbal

Proceedings of the BiDEDE '22: Proceedings of The International Workshop on Big Data in Emergent Distributed Environments, 2022

2021

A comparative study of regression, neural network and neuro-fuzzy inference system for determining the compressive strength of brick-mortar masonry by fusing nondestructive testing data.

Mayank Mishra, Amanjeet Singh Bhatia, Damodar Maity

Eng. Comput., 2021

Accelerating Gradient-based Meta Learner.

Varad Pimpalkhute, Amey Pandit, Mayank Mishra, Rekha Singhal

CoRR, 2021

Performance and Cost Comparison of Cloud Services for Deep Learning Workload.

Dheeraj Chahal, Mayank Mishra, Surya Palepu, Rekha Singhal

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

RUSLI: Real-time Updatable Spline Learned Index.

Mayank Mishra, Rekha Singhal

Proceedings of the aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, 2021

Distributed training for accelerating metalearning algorithms.

Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal

Proceedings of the BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2021

SLA-aware Workload Scheduling Using Hybrid Cloud Services.

Dheeraj Chahal, Surya Palepu, Mayank Mishra, Rekha Singhal

Proceedings of the HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, 2021

FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline.

Mayank Mishra, Archisman Bhowmick, Rekha Singhal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Benchmarking of Quantization Libraries in Popular Frameworks.

Tejas Dubhir, Mayank Mishra, Rekha Singhal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Towards Accelerating Offline RL based Recommender Systems.

Mayank Mishra, Rekha Singhal, Ravi Singh

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020

Teaching-learning-based optimisation algorithm and its application in capturing critical slip surface in slope stability analysis.

Mayank Mishra, Venkata Ramana Gunturi, Damodar Maity

Soft Comput., 2020

Performance Studies of 10 Metaheuristic Techniques in Determination of Damages for Large-Scale Spatial Trusses from Changes in Vibration Responses.

Mayank Mishra, Swarup K. Barman, Damodar Maity, Dipak Kumar Maiti

J. Comput. Civ. Eng., 2020

A Vision on Accelerating Enterprise IT System 2.0.

Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj Nambiar

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

Recommending in changing times.

Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Adversarial Approximate Inference for Speech to Electroglottograph Conversion.

Varun Srivastava, Mayank Mishra

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Adversarial Approximate Inference for Speech to Electroglottograph Conversion.

Prathosh A. P., Varun Srivastava, Mayank Mishra

CoRR, 2019

Crack Detection on Inner Tunnel Surface Using Image Processing.

Debanshu Biswas, Ipsit Nayak, Shaibal Choudhury, Trishaani Acharjee, Sidhant, Mayank Mishra

Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019

2018

A Novel Ramp-based Pulse Shaping Filter for Reducing Out of Band Emission in 5G GFDM System.

Mayank Mishra, Satyabrata Aich, Hee-Cheol Kim, Pyari Mohan Pradhan

Proceedings of the TENCON 2018, 2018

Cracking the monolith: challenges in data transitioning to cloud native architectures.

Mayank Mishra, Shruti Kunde, Manoj Nambiar

Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018

2017

On-Disk Data Processing: Issues and Future Directions.

Mayank Mishra, Arun K. Somani

CoRR, 2017

A Clustering based Prediction Scheme for High Utility Itemsets.

Piyush Lakhawat, Mayank Mishra, Arun K. Somani

Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

2016

Whither Tightness of Packing? The Case for Stable VM Placement.

Mayank Mishra, Umesh Bellur

IEEE Trans. Cloud Comput., 2016

Bulk I/O Storage Management for Big Data Applications.

Pratik Mishra, Mayank Mishra, Arun K. Somani

Proceedings of the 24th IEEE International Symposium on Modeling, 2016

A Novel Clustering Algorithm to Capture Utility Information in Transactional Data.

Piyush Lakhawat, Mayank Mishra, Arun K. Somani

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

De-Fragmenting the Cloud.

Mayank Mishra, Umesh Bellur

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2013

Managing Network Reservation for Tenants in Oversubscribed Clouds.

Mayank Mishra, Partha Dutta, Praveen Kumar, Vijay Mann

Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

2012

Dynamic resource management using virtual machine migrations.

Mayank Mishra, Anwesha Das, Purushottam Kulkarni, Anirudha Sahoo

IEEE Commun. Mag., 2012

Low cost computing using virtualization for Remote Desktop.

Dhaval Manvar, Mayank Mishra, Anirudha Sahoo

Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012

2011

On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach.

Mayank Mishra, Anirudha Sahoo

Proceedings of the IEEE International Conference on Cloud Computing, 2011

2009

Design and Implementation of HMM-VQ based Isolated Digit Recognition System.

Mayank Mishra, Hemant A. Patil

Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2007

An 802.11 Based MAC Protocol for Providing QoS to Real Time Applications.

Mayank Mishra, Anirudha Sahoo

Proceedings of the 10th International Conference on Information Technology, 2007

2006

A Contention Window Based Differentiation Mechanism for providing QoS in Wireless LANs.

Mayank Mishra, Anirudha Sahoo

Proceedings of the 9th International Conference in Information Technology, 2006

2005

Design and implementation of an architecture supporting mobile CORBA servants under intermittent connectivity environment.

Mayank Mishra, Sanjay Chaudhary

Proceedings of the IEEE Wireless Communications and Networking Conference, 2005

2004

Architecture for Locating Mobile CORBA Objects in Wireless Mobile Environment.

Mayank Mishra

Proceedings of the Advanced Distributed Systems: Third International School and Symposium, 2004