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Sandya Mannarswamy
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2020 – today
- 2023
- [c28]Raghavendra Bhat, Sandya Mannarswamy, Shreyas N. C:
DL4HC: Deep Learning for Healthcare. COMAD/CODS 2023: 327-329 - [i3]Dibyendu Das, Sandya Mannarswamy:
ML-driven Hardware Cost Model for MLIR. CoRR abs/2302.11405 (2023) - 2022
- [i2]Sandya Mannarswamy, Dibyendu Das:
Learning to Combine Instructions in LLVM Compiler. CoRR abs/2202.12379 (2022) - 2021
- [c27]Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy:
First Workshop on Knowledge Injection in Neural Networks (KINN). CIKM 2021: 4882-4883 - [c26]Sandya Mannarswamy, Saravanan Chidambaram:
Opening the NLP Blackbox - Analysis and Evaluation of NLP Models: Methods, Challenges and Opportunities. COMAD/CODS 2021: 447-448 - 2020
- [c25]Sandya Mannarswamy, Shourya Roy, Saravanan Chidambaram:
Tutorial on Software Testing & Quality Assurance for Machine Learning Applications from research bench to real world. COMAD/CODS 2020: 373-374
2010 – 2019
- 2019
- [c24]Manjira Sinha, Satarupa Guha, Preethy Varma, Tridib Mukherjee, Sandya Mannarswamy:
My City, My Voice: Listening to the Citizen Views from Web Sources. COMAD/CODS 2019: 52-60 - [c23]Manjira Sinha, Priya Radhakrishnan, Sandya Mannarswamy, Monnie Parida:
CIQ@FIRE: Overview of the Shared Task on Fine-Grained Classification of Insincere Questions. FIRE 2019: 1-3 - 2018
- [c22]Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha, Sandya Mannarswamy:
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection. ASONAM 2018: 278-281 - [c21]Shreshtha Mundra, Sachin Kumar, Manjira Sinha, Sandya Mannarswamy:
Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion. CIKM 2018: 1695-1698 - [c20]Anirban Sen, Manjira Sinha, Sandya Mannarswamy, Shourya Roy:
Stance classification of multi-perspective consumer health information. COMAD/CODS 2018: 273-281 - [c19]Sandya Mannarswamy, Shourya Roy:
Evolving AI from Research to Real Life - Some Challenges and Suggestions. IJCAI 2018: 5172-5179 - [c18]Sandya Mannarswamy, Saravanan Chidambaram:
GEMINIO: Finding Duplicates in a Question Haystack. PAKDD (2) 2018: 104-114 - [i1]Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha, Sandya Mannarswamy:
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection. CoRR abs/1809.05252 (2018) - 2017
- [c17]Manjira Sinha, Xiangnan He, Alessandro Bozzon, Sandya Mannarswamy, Pradeep K. Murukannaiah, Tridib Mukherjee:
SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities. CIKM 2017: 2567-2568 - [c16]Shreshtha Mundra, Sandya Mannarswamy, Manjira Sinha, Anirban Sen:
Embedding Learning of Figurative Phrases for Emotion Classification in Micro-Blog Texts. CODS 2017: 3:1-3:9 - [c15]Anirban Sen, Manjira Sinha, Sandya Mannarswamy:
Improving Similar Question Retrieval using a Novel Tripartite Neural Network based Approach. FIRE 2017: 1-5 - [c14]Anirban Sen, Manjira Sinha, Sandya Mannarswamy, Shourya Roy:
Multi-task Representation Learning for Enhanced Emotion Categorization in Short Text. PAKDD (2) 2017: 324-336 - [c13]Shreshtha Mundra, Anirban Sen, Manjira Sinha, Sandya Mannarswamy, Sandipan Dandapat, Shourya Roy:
Fine-Grained Emotion Detection in Contact Center Chat Utterances. PAKDD (2) 2017: 337-349 - 2016
- [c12]Manjira Sinha, Sandya Mannarswamy, Shourya Roy:
CHIS@FIRE: Overview of the Shared Task on Consumer Health Information Search. FIRE (Working Notes) 2016: 193-196 - 2015
- [c11]Rajat Verma, Anton Ajay Mendez, Stan Park, Sandya S. Mannarswamy, Terence Kelly, Charles B. Morrey III:
Failure-Atomic Updates of Application Data in a Linux File System. FAST 2015: 203-211 - 2012
- [c10]Sandya S. Mannarswamy, R. Govindarajan:
Reconciling transactional conflicts with compiler's help. CGO 2012: 53-62 - 2011
- [c9]Sandya Mannarswamy, Ramaswamy Govindarajan:
Making STMs Cache Friendly with Compiler Transformations. PACT 2011: 232-242 - [c8]Sandya S. Mannarswamy, Ramaswamy Govindarajan:
Variable Granularity Access Tracking Scheme for Improving the Performance of Software Transactional Memory. IPDPS 2011: 455-466 - 2010
- [c7]Sandya S. Mannarswamy, Ramaswamy Govindarajan:
Analyzing cache performance bottlenecks of STM applications and addressing them with compiler's help. PACT 2010: 547-548 - [c6]Sandya Mannarswamy, R. Govindarajan:
Handling Conflicts with Compiler's Help in Software Transactional Memory Systems. ICPP 2010: 482-491 - [c5]Sandya Mannarswamy, Dhruva R. Chakrabarti, Kaushik Rajan, Sujoy Saraswati:
Compiler aided selective lock assignment for improving the performance of software transactional memory. PPoPP 2010: 37-46
2000 – 2009
- 2009
- [c4]Sandya S. Mannarswamy, Ramaswamy Govindarajan, Rishi Surendran:
Region Based Structure Layout Optimization by Selective Data Copying. PACT 2009: 338-347 - 2008
- [j2]Sandya S. Mannarswamy:
Book Review. Sci. Program. 16(4): 341-342 (2008) - 2007
- [c3]Easwaran Raman, Robert Hundt, Sandya Mannarswamy:
Structure Layout Optimization for Multithreaded Programs. CGO 2007: 271-282 - 2006
- [j1]Sandya Mannarswamy, Shruti Doval, Hariharan Sandanagobalane, Mahesha Nanjundaiah:
TRICK: tracking and reusing compiler's knowledge. ACM SIGPLAN Notices 41(12): 28-37 (2006) - [c2]Nathaniel McIntosh, Sandya Mannarswamy, Robert Hundt:
Whole-program optimization of global variable layout. PACT 2006: 164-172 - [c1]Robert Hundt, Sandya Mannarswamy, Dhruva R. Chakrabarti:
Practical Structure Layout Optimization and Advice. CGO 2006: 233-244
Coauthor Index
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