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【第10期】Skip-gram解读
Seventy3: 用NotebookML将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Distributed Representations of Words and Phrases and their Compositionality
This document summarizes t…
1 year, 8 months ago
加餐004-MLP-KAN解读
Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
MLP-KAN: Unifying Deep Representation and Function Learning
Source: He, Y., Xie, Y., Yuan, Z., & Sun, …
1 year, 8 months ago
【第九期】Seq2seq解读
Seventy3: 用NotebookML将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Sequence to Sequence Learning with Neural Networks
Source: Sutskever, I., Vinyals, O., & Le, Q. V. (20…
1 year, 8 months ago
加餐003-FAN (Fourier Analysis Network)
Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
FAN: Fourier Analysis Networks
This briefing document reviews the key themes and findings from the res…
1 year, 8 months ago
加餐002-Differential Transformer
Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Differential Transformer
Source: Ye, Tianzhu, et al. "Differential Transformer." arXiv preprint arXiv:…
1 year, 8 months ago
【第八期】RNN Encoder-Decoder解读
Seventy3: 用NotebookML将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Source: …
1 year, 8 months ago
【第七期】GRU original解读
Seventy3: 用NotebookML将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Source: "Empirical Evalua…
1 year, 8 months ago
【第六期】GRU-RNN解读
Seventy3: 用NotebookML将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
On the Properties of Neural Machine Translation: Encoder–Decoder
Approaches
Source: Cho et al. "On the …
1 year, 8 months ago
加餐001-Were RNNs All We Needed?
Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Were RNNs All We Needed?
Main Theme:
This research paper revisits traditional recurrent neural networks…
1 year, 8 months ago
【第五期】Movie Gen
Seventy3: 用NotebookML将论文生成播客，让大家跟着AI一起进步。
今天的主题是：
Movie Gen: A Cast of Media Foundation Models
This briefing document reviews the key themes and finding…
1 year, 8 months ago