Week 10: Final Paper, First Draft
Announcements
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Class participation, Google Folder.
Friday
Methods Section
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Baseline
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Benchmark
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Your innovation
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Figure
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Flowchart
Results Section
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Accuracy
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Runtime
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Table
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Compare with baseline
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Facts, not opinions
Discussion Section
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Compare your results with results from previous papers.
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What’s new? compared to your 'Related work' section
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Limitations, time and money
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Future work
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Opinios, based on facts
Paper Example
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Attention is all you need
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Cited by 93627
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NeurIPS 2017
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The three reviews
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More related paper in EdSTEM
Dataset Example
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EEGEyeNet
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The reviews
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The result table
Paper from us
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KDD 2023
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A paper of a literature review
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A paper of an Experiment
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ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data
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Compare the result table with the one in the EEGEyeNet paper
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Code, Github
Programming Tips
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Python
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Numpy
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PyTorch
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Google Colab
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ML host, Cloud options
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More on EdSTEM