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05/25/2023
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
India has a rich linguistic landscape with languages from 4 major langua...
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05/25/2023
Svarah: Evaluating English ASR Systems on Indian Accents
India is the second largest English-speaking country in the world with a...
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05/24/2023
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR
Improving ASR systems is necessary to make new LLM-based use-cases acces...
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05/09/2023
Large Language Models Humanize Technology
Large Language Models (LLMs) have made rapid progress in recent months a...
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04/19/2023
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models
Knowledge distillation (KD) is a well-known method for compressing neura...
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12/20/2022
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages
The rapid growth of machine translation (MT) systems has necessitated co...
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12/20/2022
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
We present, Naamapadam, the largest publicly available Named Entity Reco...
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12/11/2022
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages
In this work, we introduce IndicXTREME, a benchmark consisting of nine d...
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11/17/2022
Towards Building Text-To-Speech Systems for the Next Billion Users
Deep learning based text-to-speech (TTS) systems have been evolving rapi...
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08/26/2022
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages
End-to-end (E2E) models have become the default choice for state-of-the-...
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08/24/2022
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages
A cornerstone in AI research has been the creation and adoption of stand...
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05/06/2022
Aksharantar: Towards building open transliteration tools for the next billion users
We introduce Aksharantar, the largest publicly available transliteration...
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03/26/2022
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages
Gesture typing is a method of typing words on a touch-based keyboard by ...
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03/23/2022
Input-specific Attention Subnetworks for Adversarial Detection
Self-attention heads are characteristic of Transformer models and have b...
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11/06/2021
Towards Building ASR Systems for the Next Billion Users
Recent methods in speech and language technology pretrain very LARGE mod...
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10/12/2021
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
AI technologies for Natural Languages have made tremendous progress rece...
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10/07/2021
Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants
There has been a surge in the number of Machine Learning methods to anal...
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09/26/2021
On the Prunability of Attention Heads in Multilingual BERT
Large multilingual models, such as mBERT, have shown promise in crosslin...
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09/07/2021
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
In this paper we present IndicBART, a multilingual, sequence-to-sequence...
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08/09/2021
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning
Digital hardware is verified by comparing its behavior against a referen...
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07/01/2021
A Primer on Pretrained Multilingual Language Models
Multilingual Language Models (MLLMs) such as mBERT, XLM, XLM-R, etc. hav...
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05/27/2021
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays
Both efficient neural networks and hardware accelerators are being explo...
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04/12/2021
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
We present Samanantar, the largest publicly available parallel corpora c...
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01/22/2021
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
Multi-headed attention heads are a mainstay in transformer-based models....
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01/21/2021
Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem
The three body problem is a special case of the n body problem where one...
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08/13/2020
On the Importance of Local Information in Transformer Based Models
The self-attention module is a key component of Transformer-based models...
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07/05/2020
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Are existing object detection methods adequate for detecting text and vi...
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04/30/2020
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages
We present the IndicNLP corpus, a large-scale, general-domain corpus con...
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04/27/2020
Compact retail shelf segmentation for mobile deployment
The recent surge of automation in the retail industries has rapidly incr...
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09/03/2019
Data Interpretation over Plots
Reasoning over plots by question answering (QA) is a challenging machine...
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07/24/2018
Example Mining for Incremental Learning in Medical Imaging
Incremental Learning is well known machine learning approach wherein the...
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11/20/2017
