64 citations · 92 across the 7 of their papers we have counts for
8 papers
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal +5
Multi-turn textual feedback-based fashion image retrieval focuses on a real-world setting, where users can iteratively provide information to refine retrieval results until they fi…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
MoMo: A shared encoder Model for text, image and multi-Modal representations
Rakesh Chada, Zhaoheng Zheng, Pradeep Natarajan
We propose a self-supervised shared encoder model that achieves strong results on several visual, language and multimodal benchmarks while being data, memory and run-time efficient…
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas +38
We present results from a large-scale experiment on pretraining encoders with non-embedding parameter counts ranging from 700M to 9.3B, their subsequent distillation into smaller m…
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
Rakesh Chada, Pradeep Natarajan
The task of learning from only a few examples (called a few-shot setting) is of key importance and relevance to a real-world setting. For question answering (QA), the current state…
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models
Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya +1
Large-scale conversational assistants like Alexa, Siri, Cortana and Google Assistant process every utterance using multiple models for domain, intent and named entity recognition.…
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
Jiaxin Cheng, Ayush Jaiswal, Yue Wu +2
Neural Style Transfer (NST) has quickly evolved from single-style to infinite-style models, also known as Arbitrary Style Transfer (AST). Although appealing results have been widel…
Class-agnostic Object Detection
Ayush Jaiswal, Yue Wu, Pradeep Natarajan +1
Object detection models perform well at localizing and classifying objects that they are shown during training. However, due to the difficulty and cost associated with creating and…