| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | 31 |
- XOR
- Classificaion
- Set Transformer
- Python
- NLP
- sigmoid
- word2vec
- abstraction
- sentence embedding
- GNN
- pytorch
- machine learning
- elif
- overfitting
- Attention
- python practice
- neural net
- Transformer
- deep learning
- Self-loop attention
- Today
- Total
목록Set Transformer (2)
Research Notes
[Paper Review] Reciptor: An Effective Pretrained Model for Recipe Representation Learning
Title: Reciptor: An Effective Pretrained Model for Recipe Representation Learning Authors: Diya Li, Mohammed J. Zaki Summary a joint approach for learning effective pretrained recipe embeddings using both the ingredients and cooking instructions a novel set transformer-based joint model to learn recipe representations that preserve permutation-invariance Framework Tags data: Model Validation에 사용..
[Paper Review] Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Title: Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Authors: Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh 0. Abstract 다양한 ML tasks는 set의 순서에 의존하지 않는 *permutation invariant한 특성을 반영하지 못함 기존 모델의 이러한 한계로, Attention-based neural network model인 Set Transformer를 제안함 Set Transformer는 input set 내 요소들의 interaction을 반영할 수 있도록 설계..