Sachin Vernekar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Mahalanobis Distance

Adaboost Classifier

Top Venues

Publications

Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee
Scaling Use-case Based Shopping using LLMs. WSDM (2024)
Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards
Simple Continual Learning Strategies for Safer Classifers. SafeAI@AAAI (2020)
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 (2019)
Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki
Analysis of Confident-Classifiers for Out-of-distribution Detection. CoRR (2019)
Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki
Out-of-distribution Detection in Classifiers via Generation. CoRR (2019)
Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. CoRR (2018)
Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar
Calibrating Uncertainties in Object Localization Task. CoRR (2018)
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)
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)