A multi-task learning model written in Keras to analyse sentiments in IMDB movie reviews and Insults in social commentary datasets
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Updated
Dec 19, 2019 - Python
A multi-task learning model written in Keras to analyse sentiments in IMDB movie reviews and Insults in social commentary datasets
Code for the paper "Textual supervision for visually grounded spoken language understanding".
Unified Scene Understanding Network
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A thorough research on multi-task learning
Adversarial Multitask Neural Network
Structuring Machine Learning Projects repository for all projects of Course 3 of 5 of the Deep Learning Specialization covering topics such as being a technical leader in AI, how to diagnose and reduce errors in a ML system, mismatched training/test sets, human-level performance, transfer learning, multi-task learning and end-to-end learning.
Code and data used to conduct an empirical analysis of regularised multi-task learning methods.
Prediction of acute inflammations of urinary bladder and acute nephritises using UCI Acute Inflammations Data Set.
This repository contains data analysis scripts that I have used for my Master thesis research on multi-fidelity Bayesian optimization. The origin of the raw experimental data can be found in the thesis (not in this repository).
[IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
Multi-species clustering of HiC data (Fotuhi Siahpirani et al, Genome Biology 2016)
Deep Learning Specialization. Master Deep Learning, and Break into AI
Source code for the paper "VOGUE: Answer Verbalization through Multi Task Learning"
Weights & Biases Integration with the official implementation of "Multi-Task Learning as a Bargaining Game".
Body Index Predictor
The official PyTorch implementation of CPMR [CIKM 2023] "CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning".
Includes codes for "Correcting Missingness in Passively-Generated Mobile Data with Multi-task Gaussian Processes"
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