25 citations · 33 across the 8 of their papers we have counts for
9 papers
Tree DNN: A Deep Container Network
Brijraj Singh, Swati Gupta, Mayukh Das +2
Multi-Task Learning (MTL) has shown its importance at user products for fast training, data efficiency, reduced overfitting etc. MTL achieves it by sharing the network parameters a…
Human-guided Collaborative Problem Solving: A Natural Language based Framework
Harsha Kokel, Mayukh Das, Rakibul Islam +10
We consider the problem of human-machine collaborative problem solving as a planning task coupled with natural language communication. Our framework consists of three components --…
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
Mayukh Das, Brijraj Singh, Harsh Kanti Chheda +2
Designing suitable deep model architectures, for AI-driven on-device apps and features, at par with rapidly evolving mobile hardware and increasingly complex target scenarios is a…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
Alexander L. Hayes, Mayukh Das, Phillip Odom +1
One of the key advantages of Inductive Logic Programming systems is the ability of the domain experts to provide background knowledge as modes that allow for efficient search throu…
One-Shot Induction of Generalized Logical Concepts via Human Guidance
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa +1
We consider the problem of learning generalized first-order representations of concepts from a single example. To address this challenging problem, we augment an inductive logic pr…