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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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Fall 2022
Natural language inference, also known as NLI, aims to determine the logical relationship between two sentences, such as Entailment, Contradiction, and Neutral. NLI is important to natural language processing, because it involves logical reasoning and is a key problem in artificial intelligence....
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Fall 2022
Deep neural networks (DNN) have emerged as the state-of-the-art method in several research areas. DNN is yet to fully permeate resource-constrained computing platforms, such as mobile phones. Accurate DNN models being deeper and wider take considerable memory and time to execute on small devices...
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Spring 2020
Knowledge graphs are an important source of information used in a number of applications including web search, online shopping, social networking, and chatbots. They are an effective way of storing real-world data in a machine-readable format. As a result, the construction of comprehensive,...
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NeuroSketcher: Synthesizing Non-Differentiable Programs with Non-Differentiable Loss Functions
DownloadFall 2023
Programmatic hypotheses offer valuable properties, such as generalizability and interpretability. However, such hypotheses can be elusive, as one finds them by searching over large spaces of programs. Recent work showed that neural networks can be used to guide the search in the programmatic...
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Fall 2018
In this thesis, I study the methods to solve an NP-hard problem, minimum weighted latency problem (MWLP). The well-studied NP-hard problem minimum latency problem (MLP) can be seen as a special case of MLWP. I introduce the motivation of studying MWLP at the beginning. After describing the...
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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,...