35 citations · 42 across the 11 of their papers we have counts for
11 papers
Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset
Suba S, Nita Parekh, Ramesh Loganathan +2
Computer tomography (CT) have been routinely used for the diagnosis of lung diseases and recently, during the pandemic, for detecting the infectivity and severity of COVID-19 disea…
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource Languages
Amit Pandey, Swayatta Daw, Narendra Babu Unnam +1
We leverage pre-trained language models to solve the task of complex NER for two low-resource languages: Chinese and Spanish. We use the technique of Whole Word Masking(WWM) to boo…
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers
Vivek Kumar, Rishabh Maheshwary, Vikram Pudi
Existing Math Word Problem (MWP) solvers have achieved high accuracy on benchmark datasets. However, prior works have shown that such solvers do not generalize well and rely on sup…
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER
Amit Pandey, Swayatta Daw, Vikram Pudi
We investigate the task of complex NER for the English language. The task is non-trivial due to the semantic ambiguity of the textual structure and the rarity of occurrence of such…
Adversarial Examples for Evaluating Math Word Problem Solvers
Vivek Kumar, Rishabh Maheshwary, Vikram Pudi
Standard accuracy metrics have shown that Math Word Problem (MWP) solvers have achieved high performance on benchmark datasets. However, the extent to which existing MWP solvers tr…
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
Existing black box search methods have achieved high success rate in generating adversarial attacks against NLP models. However, such search methods are inefficient as they do not…
A Context Aware Approach for Generating Natural Language Attacks
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
We study an important task of attacking natural language processing models in a black box setting. We propose an attack strategy that crafts semantically similar adversarial exampl…
Generating Natural Language Attacks in a Hard Label Black Box Setting
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
We study an important and challenging task of attacking natural language processing models in a hard label black box setting. We propose a decision-based attack strategy that craft…
CRICTRS: Embeddings based Statistical and Semi Supervised Cricket Team Recommendation System
Prazwal Chhabra, Rizwan Ali, Vikram Pudi
Team Recommendation has always been a challenging aspect in team sports. Such systems aim to recommend a player combination best suited against the opposition players, resulting in…
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco +1
Variational autoencoders were proven successful in domains such as computer vision and speech processing. Their adoption for modeling user preferences is still unexplored, although…
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high…