output
20102026
most citedMolecular communication in fluid media: The additive inverse Gaussian noise channel

411 citations

Showing 2021Show all

13 papers · 1 filter

cs.CL2021★ 1 cited

Adaptive Beam Search to Enhance On-device Abstractive Summarization

Harichandana B S S, Sumit Kumar

We receive several essential updates on our smartphones in the form of SMS, documents, voice messages, etc. that get buried beneath the clutter of content. We often do not realize…

cs.CL2021★ 3 cited

VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation

Sumit Kumar, Harichandana B S S, Himanshu Arora

Most of the speech recognition systems recover only words in the speech and fail to capture emotions. Users have to manually add emoji(s) in text for adding tone and making communi…

cs.CV2021★ 9 cited

A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics

Prasen Kumar Sharma, Arun Abraham, Vikram Nelvoy Rajendiran

Quantizing the floating-point weights and activations of deep convolutional neural networks to fixed-point representation yields reduced memory footprints and inference time. Recen…

astro-ph.CO2021★ 3 cited

Evidence for possible systematic underestimation of uncertainties in extragalactic distances and its cosmological implications

Ritesh Singh

1. We find that any two distance moduli measurements for the same galaxy differ from each other by 2.07 times the reported one sigma uncertainty on average. 2. This average differe…

cs.CL2021★ 12 cited

LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network

Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh +2

Intent detection is a crucial task in any Natural Language Understanding (NLU) system and forms the foundation of a task-oriented dialogue system. To build high-quality real-world…

cs.NI2021★ 10 cited

Personal Internet of Things (PIoT): What is it Exactly?

Biswa PS Sahoo, Deepak Puthal, Saraju P. Mohanty +1

The use of Internet of Things (IoT) devices in homes and the immediate proximity of an individual communicates to create Personal IoT (PIoT) networks. The exploratory study of PIoT…

cs.CV2021★ 5 cited

STRIDE : Scene Text Recognition In-Device

Rachit S Munjal, Arun D Prabhu, Nikhil Arora +2

Optical Character Recognition (OCR) systems have been widely used in various applications for extracting semantic information from images. To give the user more control over their…

cs.CV2021

FONTNET: On-Device Font Understanding and Prediction Pipeline

Rakshith S, Rishabh Khurana, Vibhav Agarwal +2

Fonts are one of the most basic and core design concepts. Numerous use cases can benefit from an in depth understanding of Fonts such as Text Customization which can change text in…

cs.CL2021★ 7 cited

Real-Time Optimized N-gram For Mobile Devices

Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh +4

With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domai…

cs.CL2021★ 8 cited

Language Detection Engine for Multilingual Texting on Mobile Devices

Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani +3

More than 2 billion mobile users worldwide type in multiple languages in the soft keyboard. On a monolingual keyboard, 38% of falsely auto-corrected words are valid in another lang…

cs.CV2021★ 3 cited

On-Device Document Classification using multimodal features

Sugam Garg, Harichandana, Sumit Kumar

From small screenshots to large videos, documents take up a bulk of space in a modern smartphone. Documents in a phone can accumulate from various sources, and with the high storag…

cs.CL2021★ 2 cited

edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts

Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi +1

Abugida refers to a phonogram writing system where each syllable is represented using a single consonant or typographic ligature, along with a default vowel or optional diacritic(s…

cs.CL2021★ 1 cited

LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning

Sonal Kumari, Vibhav Agarwal, Bharath Challa +4

Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, for…