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Sachin Vernekar
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2020 – today
- 2024
- [c4]Sachin Farfade
, Sachin Vernekar
Scaling Use-case Based Shopping using LLMs. WSDM 2024: 1165-1166 - 2020
- [c3]Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards:
Simple Continual Learning Strategies for Safer Classifers. SafeAI@AAAI 2020: 96-104
2010 – 2019
- 2019
- [i5]Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki:
Analysis of Confident-Classifiers for Out-of-distribution Detection. CoRR abs/1904.12220 (2019) - [i4]Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki:
Out-of-distribution Detection in Classifiers via Generation. CoRR abs/1910.04241 (2019) - [i3]Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denouden, Sachin Vernekar, Buu Phan:
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. CoRR abs/1910.10307 (2019) - 2018
- [i2]Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar:
Calibrating Uncertainties in Object Localization Task. CoRR abs/1811.11210 (2018) - [i1]Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar:
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. CoRR abs/1812.02765 (2018) - 2016
- [c2]Sachin Vernekar, Saurabh Nair, Deepu Vijayasenan, Rohit Ranjan:
A Novel Approach for Classification of Normal/Abnormal Phonocardiogram Recordings using Temporal Signal Analysis and Machine Learning. CinC 2016 - [c1]Sachin Vernekar, Deepu Vijayasenan, Rohit Ranjan:
A Novel Approach for Robust Detection of Heart Beats in Multimodal Data using Neural Networks and Boosted Trees. CinC 2016
Coauthor Index
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