Abhay Venkatesh

Publication Activity (10 Years)

Years Active: 2019-2020
Publications (10 Years): 5

Top Topics

Machine Learning

Unlabeled Samples

Rademacher Complexity

Labeled Instances

Top Venues

Publications

Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains. AAAI (2020)
Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. CVPR (2020)
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains. CoRR (2019)
Aarati Kakaraparthy, Abhay Venkatesh, Amar Phanishayee, Shivaram Venkataraman
The Case for Unifying Data Loading in Machine Learning Clusters. HotCloud (2019)
Vishnu Suresh Lokhande, Sathya N. Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh
Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently. CoRR (2019)