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Found 10 papers, 0 papers with code
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair
Techniques such as Phrase Table Injection (PTI) and back-translation and mixing of language corpora are used for enhancing the parallel data; whereas pivoting and multilingual embeddings are used to leverage transfer learning.
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021
In this paper, we discuss the details of the various Machine Translation (MT) systems that we have submitted for the English-Marathi LoResMT task.
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT
In this paper, we present the details of the systems that we have submitted for the WAT 2021 MultiIndicMT: An Indic Language Multilingual Task.
Generation Z's Ability to Discriminate Between AI-generated and Human-Authored Text on Discord
We surveyed Generation Z aged individuals (n = 335) to evaluate their proficiency in discriminating between AI-generated and human-authored text on Discord.
Generator Assisted Mixture of Experts For Feature Acquisition in Batch
However, sequential acquisition is not feasible in some settings where time is of the essence.
muBoost: An Effective Method for Solving Indic Multilingual Text Classification Problem
In this paper, we are presenting our solution to Multilingual Abusive Comment Identification Problem on Moj, an Indian video-sharing social networking service, powered by ShareChat.
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Therefore, it is required to provide high-quality interpretable, and understandable explanations for a model's prediction in sports.
Decision Making
Explainable Artificial Intelligence (XAI)
+2
International cooperation and competition in orbit-use management
We develop a game-theoretic model of national regulatory policies and self-enforcing international treaties for orbit-use management in the face of open access, regulatory competition, and catastrophe.
Solving Fashion Recommendation -- The Farfetch Challenge
Bayesian optimization of hyper parameters improved the MRR to 0. 5240 on the validation set.
Biased Models Have Biased Explanations
We study fairness in Machine Learning (FairML) through the lens of attribute-based explanations generated for machine learning models.
