10 citations · 19 across the 17 of their papers we have counts for
19 papers
It Takes a MAESTRO To Prune Bad Experts
Palaash Goel, Ayush Maheshwari, Tanmoy Chakraborty
Sparsely-activated Mixture-of-Experts (MoE) language models achieve remarkable inference efficiency by activating only a small fraction of parameters per token, yet their full expe…
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Yashwanth M., Vaibhav Singh, Ayush Maheshwari +2
We propose ARISE, a framework that iteratively induces rules and generates synthetic data for text classification. We combine synthetic data generation and automatic rule induction…
LexGen: Domain-aware Multilingual Lexicon Generation
Ayush Maheshwari, Atul Kumar Singh, Karthika NJ +3
Lexicon or dictionary generation across domains has the potential for societal impact, as it can potentially enhance information accessibility for a diverse user base while preserv…
FAIR: Filtering of Automatically Induced Rules
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal +1
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains. Weak supervi…
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images
Abhishek Singh, Venkatapathy Subramanian, Ayush Maheshwari +3
Information Extraction (IE) from document images is challenging due to the high variability of layout formats. Deep models such as LayoutLM and BROS have been proposed to address t…
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation
Ayush Maheshwari, Ashim Gupta, Amrith Krishna +4
We release Sāmayik, a dataset of around 53,000 parallel English-Sanskrit sentences, written in contemporary prose. Sanskrit is a classical language still in sustenance and has a ri…
A Benchmark and Dataset for Post-OCR text correction in Sanskrit
Ayush Maheshwari, Nikhil Singh, Amrith Krishna +1
Sanskrit is a classical language with about 30 million extant manuscripts fit for digitisation, available in written, printed or scannedimage forms. However, it is still considered…
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT
Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan
Domain-specific neural machine translation (NMT) systems (e.g., in educational applications) are socially significant with the potential to help make information accessible to a di…
UDAAN: Machine Learning based Post-Editing tool for Document Translation
Ayush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian +1
We introduce UDAAN, an open-source post-editing tool that can reduce manual editing efforts to quickly produce publishable-standard documents in several Indic languages. UDAAN has…
Adaptive Mixing of Auxiliary Losses in Supervised Learning
Durga Sivasubramanian, Ayush Maheshwari, Pradeep Shenoy +2
In several supervised learning scenarios, auxiliary losses are used in order to introduce additional information or constraints into the supervised learning objective. For instance…
Error Correction in ASR using Sequence-to-Sequence Models
Samrat Dutta, Shreyansh Jain, Ayush Maheshwari +3
Post-editing in Automatic Speech Recognition (ASR) entails automatically correcting common and systematic errors produced by the ASR system. The outputs of an ASR system are largel…
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
Ayush Maheshwari, Krishnateja Killamsetty, Ganesh Ramakrishnan +3
A critical bottleneck in supervised machine learning is the need for large amounts of labeled data which is expensive and time consuming to obtain. However, it has been shown that…
SPEAR : Semi-supervised Data Programming in Python
Guttu Sai Abhishek, Harshad Ingole, Parth Laturia +4
We present SPEAR, an open-source python library for data programming with semi supervision. The package implements several recent data programming approaches including facility to…
Rule Augmented Unsupervised Constituency Parsing
Atul Sahay, Anshul Nasery, Ayush Maheshwari +2
Recently, unsupervised parsing of syntactic trees has gained considerable attention. A prototypical approach to such unsupervised parsing employs reinforcement learning and auto-en…
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation
Atul Sahay, Ayush Maheshwari, Ritesh Kumar +3
Recursive neural networks (RvNN) have been shown useful for learning sentence representations and helped achieve competitive performance on several natural language inference tasks…
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan +1
We consider the problem of multi-label classification where the labels lie in a hierarchy. However, unlike most existing works in hierarchical multi-label classification, we do not…
Semi-Supervised Data Programming with Subset Selection
Ayush Maheshwari, Oishik Chatterjee, KrishnaTeja Killamsetty +2
The paradigm of data programming, which uses weak supervision in the form of rules/labelling functions, and semi-supervised learning, which augments small amounts of labelled data…
Peak Electricity Demand and Global Warming in the Industrial and Residential areas of Pune : An Extreme Value Approach
Ayush Maheshwari, Kamal Kumar Murari, T. Jayaraman
Industrial and residential activities respond distinctly to electricity demand on temperature. Due to increasing temperature trend on account of global warming, its impact on peak…
Tale of tails using rule augmented sequence labeling for event extraction
Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod +3
The problem of event extraction is a relatively difficult task for low resource languages due to the non-availability of sufficient annotated data. Moreover, the task becomes compl…