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ORCIDAshish Verma 0001
Person information
- affiliation: Amazon Inc., New York City, NY, USA
- affiliation (former 2018-2022): IBM Research, NY, USA
- affiliation (former 1998-2018): IBM Research India, New Delhi, India
- affiliation (PhD): Indian Institute of Technology Delhi, New Delhi, India
Other persons with the same name
- Ashish Verma — disambiguation page
- Ashish Verma 0002
![[0009-0007-3427-3196]](https://dblp.org/img/orcid-mark.12x12.png "0009-0007-3427-3196")
— Indian Institute of Technology Kharagpur, Department of Electronics and Electrical Communication Engineering, Kharagpur, India - Ashish Verma 0003 — Coherent Incorporated, Fremont, CA, USA (and 1 more)
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2020 – today
- 2024
[c68]Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation. EuroSys 2024: 219-235- 2023
- [c67]Fnu Mohbat, Mohammed J. Zaki, Catherine Finegan-Dollak, Ashish Verma:
GVdoc - Graph-based Visual DOcument Classification. ACL (Findings) 2023: 5342-5357 - [c66]Ritesh Kumar, Saurabh Goyal, Ashish Verma, Vatche Isahagian:
ProtoNER: Few Shot Incremental Learning for Named Entity Recognition Using Prototypical Networks. Business Process Management Workshops 2023: 70-82 - [c65]Parijat Dube, Theodoros Salonidis, Parikshit Ram, Ashish Verma:
Runtime Prediction of Machine Learning Algorithms in Automl Systems. ICASSP 2023: 1-5 - [c64]Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas:
FLIPS: Federated Learning using Intelligent Participant Selection. Middleware 2023: 301-315 - [i16]Fnu Mohbat, Mohammed J. Zaki, Catherine Finegan-Dollak, Ashish Verma:
GVdoc: Graph-based Visual Document Classification. CoRR abs/2305.17219 (2023) - [i15]Rahul Atul Bhope, K. R. Jayaram, Nalini Venkatasubramanian, Ashish Verma, Gegi Thomas:
FLIPS: Federated Learning using Intelligent Participant Selection. CoRR abs/2308.03901 (2023) - [i14]Ritesh Kumar, Saurabh Goyal, Ashish Verma, Vatche Isahagian:
ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks. CoRR abs/2310.02372 (2023) - 2022
- [c63]K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. IEEE Big Data 2022: 180-185 - [c62]K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy:
Just-in-Time Aggregation for Federated Learning. MASCOTS 2022: 1-8 - [p1]K. R. Jayaram, Ashish Verma:
Private Parameter Aggregation for Federated Learning. Federated Learning 2022: 313-336 - [i13]K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. CoRR abs/2203.12163 (2022) - [i12]K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy:
Just-in-Time Aggregation for Federated Learning. CoRR abs/2208.09740 (2022) - 2021
- [c61]Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal:
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. IEEE BigData 2021: 790-800 - [c60]Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
Separation of Powers in Federated Learning (Poster Paper). ResilientFL 2021: 16-18 - [i11]Devansh Shah, Parijat Dube, Supriyo Chakraborty, Ashish Verma:
Adversarial training in communication constrained federated learning. CoRR abs/2103.01319 (2021) - [i10]Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma:
Separation of Powers in Federated Learning. CoRR abs/2105.09400 (2021) - [i9]Anik Saha, Catherine Finegan-Dollak, Ashish Verma:
Position Masking for Improved Layout-Aware Document Understanding. CoRR abs/2109.00442 (2021) - 2020
- [c59]K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard:
MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent. CLOUD 2020: 201-210 - [c58]Anamitra Roy Choudhury, Saurabh Goyal, Yogish Sabharwal, Ashish Verma:
Variable batch size across layers for efficient prediction on CNNs. CLOUD 2020: 435-444 - [c57]Catherine Finegan-Dollak, Ashish Verma:
Layout-Aware Text Representations Harm Clustering Documents by Type. Insights 2020: 60-65 - [c56]Sidharth Gupta, Parijat Dube, Ashish Verma:
Improving the affordability of robustness training for DNNs. CVPR Workshops 2020: 3383-3392 - [c55]Anirban Dam, Ashish Verma, Charan Tej Pangi, Raja Raviteja, Chandra Shekhar Prasad:
Person Following Mobile Robot using Pedestrian Dead-Reckoning with Inertial data of Smartphones. ICCCNT 2020: 1-4 - [c54]Saurabh Goyal, Anamitra Roy Choudhury, Saurabh Raje, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Ashish Verma:
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination. ICML 2020: 3690-3699 - [c53]Ashish Verma, Christopher D. Carothers, K. R. Jayaram, Parijat Dube:
Workshop 19: ScaDL Scalable Deep Learning over Parallel and Distributed Infrastructures. IPDPS Workshops 2020: 985-986 - [c52]Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma:
Effective Elastic Scaling of Deep Learning Workloads. MASCOTS 2020: 1-8 - [i8]Saurabh Goyal, Anamitra Roy Choudhury, Venkatesan T. Chakaravarthy, Saurabh ManishRaje, Yogish Sabharwal, Ashish Verma:
PoWER-BERT: Accelerating BERT inference for Classification Tasks. CoRR abs/2001.08950 (2020) - [i7]Sidharth Gupta, Parijat Dube, Ashish Verma:
Improving the affordability of robustness training for DNNs. CoRR abs/2002.04237 (2020) - [i6]Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma:
Effective Elastic Scaling of Deep Learning Workloads. CoRR abs/2006.13878 (2020) - [i5]Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay:
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR abs/2007.10987 (2020) - [i4]K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard:
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent. CoRR abs/2012.00740 (2020)
2010 – 2019
- 2019
- [c51]Gauri Joshi, Ashish Verma:
Introduction to ScaDL 2019. IPDPS Workshops 2019: 924 - [i3]Koyel Mukherjee, Alind Khare, Ashish Verma:
A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. CoRR abs/1910.11605 (2019) - 2018
- [c50]Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma, Sameer Kumar:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CLUSTER 2018: 392-401 - [c49]Saurav Basu, Vaibhav Saxena, Rintu Panja, Ashish Verma:
Balancing Stragglers Against Staleness in Distributed Deep Learning. HiPC 2018: 12-21 - 2017
- [i2]Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury, Yogish Sabharwal, Ashish Verma:
Efficient Inferencing of Compressed Deep Neural Networks. CoRR abs/1711.00244 (2017) - [i1]Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CoRR abs/1711.00705 (2017) - 2016
- [c48]Jagabondhu Hazra, Kalyan Dasgupta, Manikandan Padmanaban, Ashish Verma, Sathyajith Mathew, Iskandarbin Petra:
Solar PV integration considering grid stability- a case study for the Temburong district in Brunei. ISGT 2016: 1-5 - 2015
- [c47]Jagabondhu Hazra, Kalyan Dasgupta, Manikandan Padmanaban, Ashish Verma, Sathyajith Mathew, M. Iskandar Petra:
Optimal power flow with grid scale battery storage. ISGT Asia 2015: 1-6 - [c46]Manikandan Padmanaban, Jagabondhu Hazra, Kalyan Dasgupta, Ashish Verma, Sathyajith Mathew, M. Iskandar Petra:
Case study on the feasibility of renewable integration in the Temburong Island of Brunei. ISGT Asia 2015: 1-6 - 2014
- [c45]Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amol Mittal:
Automatic generation of question answer pairs from noisy case logs. ICDE 2014: 436-447 - 2013
- [c44]Sujeeth Bharadwaj, Mark Hasegawa-Johnson, Jitendra Ajmera, Om Deshmukh, Ashish Verma:
Sparse hidden Markov models for purer clusters. ICASSP 2013: 3098-3102 - [c43]Shajith Ikbal, Ashish Verma, Prasanta Ghosh, Kenneth Ward Church, Jeffrey Marcus:
Intent focused summarization of caller-agent conversations. ICASSP 2013: 8352-8356 - [c42]Meena Nagarajan, Danish Contractor, Stephen Dill, Jitendra Ajmera, Hyung-Il Ahn, Ashish Verma, Matthew Denesuk:
Content Analytics System for Social Customer Relationship Management. ICWSM 2013 - [c41]Jitendra Ajmera, Hyung-Il Ahn, Meena Nagarajan, Ashish Verma, Danish Contractor, Stephen Dill, Matthew Denesuk:
A CRM system for social media: challenges and experiences. WWW 2013: 49-58 - [c40]Subhabrata Mukherjee, Ashish Verma, Kenneth Ward Church:
Intent classification of voice queries on mobile devices. WWW (Companion Volume) 2013: 149-150 - 2012
- [j7]Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma:
Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks. ACM Trans. Knowl. Discov. Data 6(2): 9:1-9:28 (2012) - [c39]Om D. Deshmukh, Ashish Verma, Etienne Marcheret:
Towards a domain-independent ASR-confidence classifier. ICASSP 2012: 4929-4932 - [c38]Hemant Purohit, Jitendra Ajmera, Sachindra Joshi, Ashish Verma, Amit P. Sheth:
Finding Influential Authors in Brand-Page Communities. ICWSM 2012 - [c37]Shajith Ikbal, Sachindra Joshi, Ashish Verma, Om D. Deshmukh:
Spoken Document Clustering Using Word Confusion Networks. INTERSPEECH 2012: 1380-1383 - 2011
- [c36]Harish Doddala, Om Deshmukh, Ashish Verma:
Role of nucleus based context in word-independent syllable stress classification. ICASSP 2011: 5712-5715 - [c35]Sai Zeng, Jim Alain Laredo, Sameep Mehta, Himanshu Chauhan, Ashish Verma, Douglas Williams, Beth Browne:
An Evidence Based Analytical Approach for Process Automation: Case Study in Finance and Administration Process Delivery Services. ICEBE 2011: 286-292 - [c34]Om Deshmukh, Shajith Ikbal, Ashish Verma, Etienne Marcheret:
Acoustic-Similarity Based Technique to Improve Concept Recognition. INTERSPEECH 2011: 1013-1016 - [c33]Vikram Gupta, Jitendra Ajmera, Arun Kumar, Ashish Verma:
A Language Independent Approach to Audio Search. INTERSPEECH 2011: 1125-1128 - [c32]Jitendra Ajmera, Ashish Verma:
A Cross-Lingual Spoken Content Search System. INTERSPEECH 2011: 2257-2260 - 2010
- [c31]Karthik Visweswariah, Om Deshmukh, Ashish Verma, Sai Zeng, Chitra Dorai, Maureen Rzasa, Gary Wright:
Process Behavior Analysis: Mechanism to Enable Superior Customer Experience. IEEE SCC 2010: 394-401 - [c30]Shantanu Godbole, Indrajit Bhattacharya, Ajay Gupta, Ashish Verma:
Building re-usable dictionary repositories for real-world text mining. CIKM 2010: 1189-1198 - [c29]Om Deshmukh, Harish Doddala, Ashish Verma, Karthik Visweswariah:
Role of language models in spoken fluency evaluation. INTERSPEECH 2010: 2866-2869 - [c28]Shajith Ikbal, Om D. Deshmukh, Karthik Visweswariah, Ashish Verma:
Utilizing relationships between named entities to improve speech recognition in dialog systems. SLT 2010: 55-60
2000 – 2009
- 2009
- [j6]Om Deshmukh, Ashish Verma:
Nucleus-level clustering for word-independent syllable stress classification. Speech Commun. 51(12): 1224-1233 (2009) - [c27]Om Deshmukh, Kundan Kandhway, Ashish Verma, Kartik Audhkhasi:
Automatic evaluation of spoken english fluency. ICASSP 2009: 4829-4832 - [c26]Kartik Audhkhasi, Kundan Kandhway, Om Deshmukh, Ashish Verma:
Formant-based technique for automatic filled-pause detection in spontaneous spoken english. ICASSP 2009: 4857-4860 - [c25]Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma:
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering. ICDM 2009: 41-50 - [c24]Ashish Verma, Tyrone Grandison, Himanshu Chauhan:
Enabling Scaleable, Efficient, Non-visual Web Browsing Services. ICWS 2009: 1037-1038 - [c23]Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupta, Ashish Verma, Jeff Achtermann, Kevin English:
Enabling analysts in managed services for CRM analytics. KDD 2009: 1077-1086 - 2008
- [c22]Om Deshmukh, Sachindra Joshi, Ashish Verma:
Automatic pronunciation evaluation and classification. INTERSPEECH 2008: 1721-1724 - [c21]Om Deshmukh, Ashish Verma:
Acoustic-phonetic approach for automatic evaluation of spoken grammar. INTERSPEECH 2008: 2614-2617 - 2007
- [c20]Abhishek Chandel, Abhinav Parate, Maymon Madathingal, Himanshu Pant, Nitendra Rajput, Shajith Ikbal, Om Deshmukh, Ashish Verma:
Sensei: Spoken language assessment for call center agents. ASRU 2007: 711-716 - [c19]Kartik Audhkhasi, Ashish Verma:
Keyword Search using Modified Minimum Edit Distance Measure. ICASSP (4) 2007: 929-932 - [c18]Abhinav Parate, Ashish Verma, Jayanta Basak:
Evaluation of syllable stress using single class classifier. INTERSPEECH 2007: 90-93 - [c17]Samuel Thomas, Ashish Verma:
Language identification of person names using CF-IOF based weighing function. INTERSPEECH 2007: 1769-1772 - 2006
- [c16]Ashish Verma, Kunal Lal, Yuen Yee Lo, Jayanta Basak:
Word Independent Model for Syllable Stress Evaluation. ICASSP (1) 2006: 1237-1240 - 2005
- [j5]Ashish Verma, Arun Kumar:
Voice fonts for individuality representation and transformation. ACM Trans. Speech Lang. Process. 2(1): 1-19 (2005) - [c15]Ashish Verma, Arun Kumar:
Introducing Roughness in Individuality Transformation through Jitter Modeling and Modification. ICASSP (1) 2005: 5-8 - 2004
- [j4]Mohit Kumar, Nitendra Rajput, Ashish Verma:
A large-vocabulary continuous speech recognition system for Hindi. IBM J. Res. Dev. 48(5-6): 703-716 (2004) - [j3]Ashish Verma, L. Venkata Subramaniam, Nitendra Rajput, Chalapathy Neti, Tanveer A. Faruquie:
Animating expressive faces across languages. IEEE Trans. Multim. 6(6): 791-800 (2004) - [c14]Ashish Verma, Arun Kumar:
Articulatory class based spectral envelope representation for voice fonts. ICME 2004: 1647-1650 - 2003
- [c13]Arun Kumar, Ashish Verma:
Using phone and diphone based acoustic models for voice conversion: a step towards creating voice fonts. ICASSP (1) 2003: 720-723 - [c12]Ashish Verma, Nitendra Rajput, L. Venkata Subramaniam:
Using viseme based acoustic models for speech driven lip synthesis. ICASSP (5) 2003: 720-723 - [c11]Arun Kumar, Ashish Verma:
Using phone and diphone based acoustic models for voice conversion: a step towards creating voice fonts. ICME 2003: 393-396 - [c10]Ashish Verma, Nitendra Rajput, L. Venkata Subramaniam:
Using viseme based acoustic models for speech driven lip synthesis. ICME 2003: 533-536 - [c9]Ashish Verma, Arun Kumar:
Modeling speaking rate for voice fonts. INTERSPEECH 2003: 2917-2920 - 2001
- [j2]Gerasimos Potamianos, Chalapathy Neti, Giridharan Iyengar, Andrew W. Senior, Ashish Verma:
A Cascade Visual Front End for Speaker Independent Automatic Speechreading. Int. J. Speech Technol. 4(3-4): 193-208 (2001) - [c8]Arpita Ghosh, Ashish Verma, Abhinanda Sarkar:
Using likelihood L-statistics to measure confidence in audio-visual speech recognition. MMSP 2001: 27-32 - [c7]Giridharan Iyengar, Gerasimos Potamianos, Chalapathy Neti, Tanveer A. Faruquie, Ashish Verma:
Robust detection of visual ROI for automatic speechreading. MMSP 2001: 79-84 - 2000
- [c6]Tanveer A. Faruquie, Chalapathy Neti, Nitendra Rajput, L. Venkata Subramaniam, Ashish Verma:
Translingual Visual Speech Synthesis. IEEE International Conference on Multimedia and Expo (II) 2000: 1089-1092 - [c5]Gerasimos Potamianos, Ashish Verma, Chalapathy Neti, Giridharan Iyengar, Sankar Basu:
A Cascade Image Transform for Speaker Independent Automatic Speech Reading. IEEE International Conference on Multimedia and Expo (II) 2000: 1097- - [c4]Niloy Mukherjee, Nitendra Rajput, L. Venkata Subramaniam, Ashish Verma:
On deriving a phoneme model for a new language. INTERSPEECH 2000: 198-201 - [c3]Nitendra Rajput, L. Venkata Subramaniam, Ashish Verma:
Adapting phonetic decision trees between languages for continuous speech recognition. INTERSPEECH 2000: 850-852 - [c2]Chalapathy Neti, Benoît Maison, Andrew W. Senior, Giridharan Iyengar, P. Decuetos, Sankar Basu, Ashish Verma:
Joint processing of audio and visual information for multimedia indexing and human-computer interaction. RIAO 2000: 294-301
1990 – 1999
- 1999
- [c1]Sankar Basu, Chalapathy Neti, Nitendra Rajput, Andrew W. Senior, L. Venkata Subramaniam, Ashish Verma:
Audio-visual large vocabulary continuous speech recognition in the broadcast domain. MMSP 1999: 475-481 - 1997
- [j1]Ashish Verma, Pallapa Venkataram:
Performance of centralized bandwidth reservation protocol in AVPNs. Comput. Commun. Rev. 27(3): 47-66 (1997)
Coauthor Index
Om Deshmukh
aka: Om D. Deshmukh
aka: Om D. Deshmukh
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