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Introduction by the Organizers
Abir De · Rishabh Iyer · Ganesh Ramakrishnan · Jeff Bilmes
Sat Jul 24 06:15 AM -- 06:30 AM (PDT) @
In this introduction, we will cover:
- Why this workshop?
- Goals of this workshop and what all will be covered?
- A list of talks
- List of papers and areas covered
- Panel discussion and topic of the panel discussion
Author Information
Abir De (IIT Bombay)
Rishabh Iyer (University of Texas at Dallas)
Ganesh Ramakrishnan (IIT Bombay)
Jeff Bilmes (UW)
More from the Same Authors
-
2021 : A Data Subset Selection Framework for Efficient Hyper-Parameter Tuning and Automatic Machine Learning »
Savan Amitbhai Visalpara · Krishnateja Killamsetty · Rishabh Iyer -
2021 : Tighter m-DPP Coreset Sample Complexity Bounds »
Gantavya Bhatt · Jeff Bilmes -
2021 : SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios »
Suraj Kothawade · Krishnateja Killamsetty · Rishabh Iyer -
2021 : Effective Evaluation of Deep Active Learning on Image Classification Tasks »
Nathan Beck · Sivasubramanian Durga · Ganesh Ramakrishnan · Rishabh Iyer -
2021 : Differentiable Learning Under Triage »
Nastaran Okati · Abir De · Manuel Gomez-Rodriguez -
2023 Poster: Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models »
Parth Sangani · Arjun Kashettiwar · Pritish Chakraborty · Bhuvan Gangula · Sivasubramanian Durga · Ganesh Ramakrishnan · Rishabh Iyer · Abir De -
2022 Poster: VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis »
Tathagat Verma · Abir De · Yateesh Agrawal · Vishwa Vinay · Soumen Chakrabarti -
2022 Spotlight: VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis »
Tathagat Verma · Abir De · Yateesh Agrawal · Vishwa Vinay · Soumen Chakrabarti -
2022 Poster: PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information »
Changbin Li · Suraj Kothawade · Feng Chen · Rishabh Iyer -
2022 Spotlight: PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information »
Changbin Li · Suraj Kothawade · Feng Chen · Rishabh Iyer -
2021 : Effective Evaluation of Deep Active Learning on Image Classification Tasks »
Rishabh Iyer · Ganesh Ramakrishnan · Sivasubramanian Durga · Nathan Beck -
2021 : SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios »
Rishabh Iyer · Krishnateja Killamsetty · Suraj Kothawade -
2021 : Tighter m-DPP Coreset Sample Complexity Bounds »
Jeff Bilmes · Gantavya Bhatt -
2021 : More Information, Less Data »
Jeff Bilmes · Jeff Bilmes -
2021 : Benchmarks and Toolkits for Data Subset Selection in ML through DECILE: Part II »
Ganesh Ramakrishnan -
2021 : Benchmarks and Toolkits for Data Subset Selection in ML through DECILE: Part I »
Rishabh Iyer -
2021 Workshop: Subset Selection in Machine Learning: From Theory to Applications »
Rishabh Iyer · Abir De · Ganesh Ramakrishnan · Jeff Bilmes -
2021 Poster: GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training »
Krishnateja Killamsetty · Sivasubramanian Durga · Ganesh Ramakrishnan · Abir De · Rishabh Iyer -
2021 Spotlight: GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training »
Krishnateja Killamsetty · Sivasubramanian Durga · Ganesh Ramakrishnan · Abir De · Rishabh Iyer -
2021 Poster: Training Data Subset Selection for Regression with Controlled Generalization Error »
Sivasubramanian Durga · Rishabh Iyer · Ganesh Ramakrishnan · Abir De -
2021 Spotlight: Training Data Subset Selection for Regression with Controlled Generalization Error »
Sivasubramanian Durga · Rishabh Iyer · Ganesh Ramakrishnan · Abir De -
2020 Poster: Coresets for Data-efficient Training of Machine Learning Models »
Baharan Mirzasoleiman · Jeff Bilmes · Jure Leskovec -
2020 Poster: Time-Consistent Self-Supervision for Semi-Supervised Learning »
Tianyi Zhou · Shengjie Wang · Jeff Bilmes -
2019 : Jeff Bilmes: Deep Submodular Synergies »
Jeff Bilmes -
2019 Poster: Bias Also Matters: Bias Attribution for Deep Neural Network Explanation »
Shengjie Wang · Tianyi Zhou · Jeff Bilmes -
2019 Oral: Bias Also Matters: Bias Attribution for Deep Neural Network Explanation »
Shengjie Wang · Tianyi Zhou · Jeff Bilmes -
2019 Poster: Jumpout : Improved Dropout for Deep Neural Networks with ReLUs »
Shengjie Wang · Tianyi Zhou · Jeff Bilmes -
2019 Poster: Combating Label Noise in Deep Learning using Abstention »
Sunil Thulasidasan · Tanmoy Bhattacharya · Jeff Bilmes · Gopinath Chennupati · Jamal Mohd-Yusof -
2019 Oral: Jumpout : Improved Dropout for Deep Neural Networks with ReLUs »
Shengjie Wang · Tianyi Zhou · Jeff Bilmes -
2019 Oral: Combating Label Noise in Deep Learning using Abstention »
Sunil Thulasidasan · Tanmoy Bhattacharya · Jeff Bilmes · Gopinath Chennupati · Jamal Mohd-Yusof -
2018 Poster: Constrained Interacting Submodular Groupings »
Andrew Cotter · Mahdi Milani Fard · Seungil You · Maya Gupta · Jeff Bilmes -
2018 Poster: Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions »
Wenruo Bai · Jeff Bilmes -
2018 Oral: Constrained Interacting Submodular Groupings »
Andrew Cotter · Mahdi Milani Fard · Seungil You · Maya Gupta · Jeff Bilmes -
2018 Oral: Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions »
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