Lecture 1.5 — Three Types of Learning — [ Deep Learning | Geoffrey Hinton | UofT ]
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Check out the following interesting papers. Happy learning!
Paper Title: "On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction" Paper: https://aclanthology.org/2023.findings-eacl.125/ Dataset: https://huggingface.co/datasets/tafseer-nayeem/review_helpfulness_prediction
Paper Title: "Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion" Paper: https://aclanthology.org/C18-1102/
Paper Title: "Extract with Order for Coherent Multi-Document Summarization" Paper: https://aclanthology.org/W17-2407.pdf
Paper Title: "Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation" Paper: https://dl.acm.org/doi/abs/10.1145/3132847.3133106
Paper Title: "Neural Diverse Abstractive Sentence Compression Generation" Paper: https://link.springer.com/chapter/10.1007/978-3-030-15719-7_14
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Lecture 9.5 — The Bayesian interpretation of weight decay — [ Deep Learning | Hinton | UofT ]
If You Sleep Well After This Lecture You Didn't Understand It - Geoffrey Hinton
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 27-VMLS matrix mult
