3.3k citations · 4.2k across the 69 of their papers we have counts for
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C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis
K J Joseph, Arghya Pal, Sailaja Rajanala +1
Generating an image from its description is a challenging task worth solving because of its numerous practical applications ranging from image editing to virtual reality. All exist…
MASON: A Model AgnoStic ObjectNess Framework
K J Joseph, Vineeth N Balasubramanian
This paper proposes a simple, yet very effective method to localize dominant foreground objects in an image, to pixel-level precision. The proposed method 'MASON' (Model-AgnoStic O…
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks
Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N Balasubramanian
Theoretical analysis of the error landscape of deep neural networks has garnered significant interest in recent years. In this work, we theoretically study the importance of noise…
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
Arghya Pal, Vineeth N Balasubramanian
Paucity of large curated hand-labeled training data for every domain-of-interest forms a major bottleneck in the deployment of machine learning models in computer vision and other…
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian
Many real world problems can now be effectively solved using supervised machine learning. A major roadblock is often the lack of an adequate quantity of labeled data for training.…