Gopinath Chennupati

3 papers · 2019–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (1) Interspeech (1) NeurIPS (1)

Top co-authors

Sunil Thulasidasan (2) Tanmoy Bhattacharya (2) Milind Rao (1) Jamal Mohd-Yusof (1) Jeff A. Bilmes (1) Andreas Stolcke (1) Anit Kumar Sahu (1) Aakriti Agrawal (1) Jeff Bilmes (1) Sarah Michalak (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Deep Learning (1) Speech & Audio (1) Application Areas (1) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1) Recognition (1)

Keywords

image classification (1) model calibration (1) weakly supervised learning (1) knowledge distillation (1) data augmentation (1) robust classification (1) automatic speech recognition (1) label smoothing (1) label noise (1) expert selection (1) deep neural network (1) noisy label (1) teacher-student model (1) predictive uncertainty (1) mixup training (1)

Papers

Learning When to Trust Which Teacher for Weakly Supervised ASR Interspeech 2023 Combating Label Noise in Deep Learning using Abstention ICML 2019 On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NeurIPS 2019