Mayank Mishra

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 57

Top Topics

Top Venues

ICPE (Companion)

Publications

Archisman Bhowmick, Mayank Mishra, Rekha Singhal
TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱. COMAD/CODS (2024)
Ravi Kumar Singh, Likhith Bandamudi, Shruti Kunde, Mayank Mishra, Rekha Singhal
Leftovers for LLaMA. ICPE (2024)
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
Scaling Granite Code Models to 128K Context. CoRR (2024)
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
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CoRR (2024)
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR (2024)
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. CoRR (2024)
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
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR (2024)
Aniruddha Nrusimha, Mayank Mishra, Naigang Wang, Dan Alistarh, Rameswar Panda, Yoon Kim
Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization. CoRR (2024)
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
The infrastructure powering IBM's Gen AI model development. CoRR (2024)
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.
StarCoder 2 and The Stack v2: The Next Generation. CoRR (2024)
Likhith Bandamudi, Ravi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal
LLaMPS: Large Language Models Placement System. ICPE (Companion) (2024)
Achintya Kundu, Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti, Mayank Mishra
Enhancing Training Efficiency Using Packing with Flash Attention. CoRR (2024)
Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR (2024)
Mayank Mishra, Prince Kumar, Riyaz Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam
Prompting with Pseudo-Code Instructions. CoRR (2023)
Mayank Mishra, Danish Contractor, Dinesh Raghu
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. EACL (Findings) (2023)
Mayank Mishra, Prince Kumar, Riyaz Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam
Prompting with Pseudo-Code Instructions. EMNLP (2023)
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
SantaCoder: don't reach for the stars! CoRR (2023)
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 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
StarCoder: may the source be with you! CoRR (2023)
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, 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
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023)
Mayank Mishra, Umesh C. Pati
A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation. Biomed. Signal Process. Control. 84 (2023)
Ravi Kumar Singh, Mayank Mishra, Rekha Singhal
Scalable High-Performance Architecture for Evolving Recommender System. EuroMLSys@EuroSys (2023)
Ravi Kumar Singh, Mayank Mishra, Rekha Singhal
Accelerating Model Training: Performance Antipatterns Eliminator Framework. EuroMLSys@EuroSys (2023)
Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor
Variational Learning for Unsupervised Knowledge Grounded Dialogs. IJCAI (2022)
Chetan Phalak, Dheeraj Chahal, Aniruddha Sen, Mayank Mishra, Rekha Singhal
MAPLE: Model Aggregation and Prediction for Learned Ecosystem. ICPE (Companion) (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan
A Closer Look at Smoothness in Domain Adversarial Training. ICML (2022)
Dheeraj Chahal, Mayank Mishra, Surya Chaitanya Palepu, Ravi Kumar Singh, Rekha Singhal
Pay-as-you-Train: Efficient ways of Serverless Training. IC2E (2022)
Chetan Phalak, Mayank Mishra, Shruti Kunde, Rekha Singhal, Sana Iqbal
Metamodel driven acceleration of actor-based simulation. BiDEDE@SIGMOD (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu
A Closer Look at Smoothness in Domain Adversarial Training. CoRR (2022)
Mayank Mishra, Danish Contractor, Dinesh Raghu
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. CoRR (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Venkatesh Babu R.
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. NeurIPS (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR (2022)
Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal
Distributed training for accelerating metalearning algorithms. BiDEDE@SIGMOD (2021)
Varad Pimpalkhute, Amey Pandit, Mayank Mishra, Rekha Singhal
Accelerating Gradient-based Meta Learner. CoRR (2021)
Dheeraj Chahal, Mayank Mishra, Surya Palepu, Rekha Singhal
Performance and Cost Comparison of Cloud Services for Deep Learning Workload. ICPE (Companion) (2021)
Dheeraj Chahal, Surya Palepu, Mayank Mishra, Rekha Singhal
SLA-aware Workload Scheduling Using Hybrid Cloud Services. HiPS@HPDC (2021)
Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor
Variational Learning for Unsupervised Knowledge Grounded Dialogs. CoRR (2021)
Tejas Dubhir, Mayank Mishra, Rekha Singhal
Benchmarking of Quantization Libraries in Popular Frameworks. IEEE BigData (2021)
Mayank Mishra, Rekha Singhal
RUSLI: Real-time Updatable Spline Learned Index. aiDM@SIGMOD (2021)
Mayank Mishra, Rekha Singhal, Ravi Singh
Towards Accelerating Offline RL based Recommender Systems. AIMLSystems (2021)
Mayank Mishra, Archisman Bhowmick, Rekha Singhal
FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline. IEEE BigData (2021)
Mayank Mishra, Amanjeet Singh Bhatia, Damodar Maity
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. Eng. Comput. 37 (1) (2021)
Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj K. Nambiar
A Vision on Accelerating Enterprise IT System 2.0. DEEM@SIGMOD (2020)
Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta
Recommending in changing times. RecSys (2020)
Mayank Mishra, Swarup K. Barman, Damodar Maity, Dipak Kumar Maiti
Performance Studies of 10 Metaheuristic Techniques in Determination of Damages for Large-Scale Spatial Trusses from Changes in Vibration Responses. J. Comput. Civ. Eng. 34 (2) (2020)
Mayank Mishra, Venkata Ramana Gunturi, Damodar Maity
Teaching-learning-based optimisation algorithm and its application in capturing critical slip surface in slope stability analysis. Soft Comput. 24 (4) (2020)
Debanshu Biswas, Ipsit Nayak, Shaibal Choudhury, Trishaani Acharjee, Sidhant, Mayank Mishra
Crack Detection on Inner Tunnel Surface Using Image Processing. ICACIE (1) (2019)
Varun Srivastava, Mayank Mishra
Adversarial Approximate Inference for Speech to Electroglottograph Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Prathosh A. P., Varun Srivastava, Mayank Mishra
Adversarial Approximate Inference for Speech to Electroglottograph Conversion. CoRR (2019)
Mayank Mishra, Satyabrata Aich, Hee-Cheol Kim, Pyari Mohan Pradhan
A Novel Ramp-based Pulse Shaping Filter for Reducing Out of Band Emission in 5G GFDM System. TENCON (2018)
Mayank Mishra, Shruti Kunde, Manoj K. Nambiar
Cracking the monolith: challenges in data transitioning to cloud native architectures. ECSA (Companion) (2018)
Mayank Mishra, Arun K. Somani
On-Disk Data Processing: Issues and Future Directions. CoRR (2017)
Piyush Lakhawat, Mayank Mishra, Arun K. Somani
A Clustering based Prediction Scheme for High Utility Itemsets. KDIR (2017)
Pratik Mishra, Mayank Mishra, Arun K. Somani
Bulk I/O Storage Management for Big Data Applications. MASCOTS (2016)
Mayank Mishra, Umesh Bellur
De-Fragmenting the Cloud. CCGrid (2016)
Piyush Lakhawat, Mayank Mishra, Arun K. Somani
A Novel Clustering Algorithm to Capture Utility Information in Transactional Data. KDIR (2016)
Mayank Mishra, Umesh Bellur
Whither Tightness of Packing? The Case for Stable VM Placement. IEEE Trans. Cloud Comput. 4 (4) (2016)
Mayank Mishra, Umesh Bellur
De-Fragmenting the Cloud. CoRR (2015)
Mayank Mishra, Partha Dutta, Praveen Kumar, Vijay Mann
Managing Network Reservation for Tenants in Oversubscribed Clouds. MASCOTS (2013)
Mayank Mishra, Anwesha Das, Purushottam Kulkarni, Anirudha Sahoo
Dynamic resource management using virtual machine migrations. IEEE Commun. Mag. 50 (9) (2012)
Dhaval Manvar, Mayank Mishra, Anirudha Sahoo
Low cost computing using virtualization for Remote Desktop. COMSNETS (2012)
Mayank Mishra, Anirudha Sahoo
On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach. IEEE CLOUD (2011)
Mayank Mishra, Hemant A. Patil
Design and Implementation of HMM-VQ based Isolated Digit Recognition System. IICAI (2009)
Mayank Mishra, Anirudha Sahoo
An 802.11 Based MAC Protocol for Providing QoS to Real Time Applications. ICIT (2007)
Mayank Mishra, Anirudha Sahoo
A Contention Window Based Differentiation Mechanism for providing QoS in Wireless LANs. ICIT (2006)
Mayank Mishra, Sanjay Chaudhary
Design and implementation of an architecture supporting mobile CORBA servants under intermittent connectivity environment. WCNC (2005)
Mayank Mishra
Architecture for Locating Mobile CORBA Objects in Wireless Mobile Environment. ISSADS (2004)