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Skip to Search Results- 1Hashemzadeh, Maryam
- 1Lan, Qingfeng
- 1Mullick, Dhruv
- 1Peet-Pare, Garnet L.
- 1Pirlot, Cassidy
- 1Saha, Rohan
- 2Machine Learning
- 2Reinforcement Learning
- 1AI
- 1Adaptive Decision-making
- 1Aspect Based Sentiment Analysis
- 1Brain Decoding
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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
DownloadFall 2022
In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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Computing Emotion Dynamics from Text and Exploring their use as Biosocial Markers of Overall Well-being
DownloadFall 2023
Language is inherently social -- it is influenced by our lived experiences and environments, and impacts the way in which we communicate with each other. Therefore, it is not a surprise that our health impacts our language. The patterns with which emotion changes over time -- emotion dynamics --...
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Fall 2021
The representations generated by many models of language (word embeddings, recurrent neural networks and transformers) correlate to brain activity recorded while people listen. However, these decoding results are usually based on the brain’s reaction to syntactically and semantically sound...
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Fall 2022
Convolution Neural Networks (CNNs) have rapidly evolved since their neuroscience beginnings. These models efficiently and accurately classify images by optimizing the model’s hidden representations to these images through training. These representa- tions have been shown to resemble neural data...
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Insights into Early Word Comprehension - Tracking the Neural Representations of Word Semantics in Infants
DownloadSpring 2022
Infants start developing rudimentary language skills and can start understanding simple words well before their first birthday. This development has also been shown primarily using Event Related Potential (ERP) techniques to find evidence of word comprehension in the infant brain. While these...
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Fall 2021
The performance of reinforcement learning (RL) agents is sensitive to the choice of hyperparameters. In real-world settings like robotics or industrial control systems, however, testing different hyperparameter configurations directly on the environment can be financially prohibitive, dangerous,...
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Fall 2020
Language Modeling (LM) is often formulated as a next-word prediction problem over a large vocabulary, which makes it challenging. To effectively perform the task of next-word prediction, Long Short Term Memory networks (LSTMs) must keep track of many types of information. Some information is...
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Studying Limitations of Generative Transformer based models for Aspect Based Sentiment Analysis
DownloadSpring 2023
Companies can only progress if they understand what their customers feel about their products and services. With companies having an online presence, and with the availability of third-party online reviewing platforms like Yelp, it becomes critical to scour through online reviews. Analysing...