51 citations · 220 across the 70 of their papers we have counts for
5 papers · 1 filter
Causal Knowledge Guided Societal Event Forecasting
Songgaojun Deng, Huzefa Rangwala, Yue Ning
Data-driven societal event forecasting methods exploit relevant historical information to predict future events. These methods rely on historical labeled data and cannot accurately…
Asynchronous Federated Learning for Sensor Data with Concept Drift
Yujing Chen, Zheng Chai, Yue Cheng +1
Federated learning (FL) involves multiple distributed devices jointly training a shared model without any of the participants having to reveal their local data to a centralized ser…
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augme…
Fair Representations by Compression
Xavier Gitiaux, Huzefa Rangwala
Organizations that collect and sell data face increasing scrutiny for the discriminatory use of data. We propose a novel unsupervised approach to transform data into a compressed b…
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task…