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- https://arxiv.org/abs/2104.03435
- 2021
マルチモーダルな情報に依存するタスクには、通常、異なるモダリティからの情報を結合する融合モジュールが含まれます。
本研究では、融合モジュールが強力なユニモーダル表現と強力なマルチモーダル表現を組み合わせることを可能にするRefiner Fusion Network (ReFNet)を開発しました。
Re…
e4exp updated
3 years ago
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## 一言でいうと
テキストと画像のペアから教師なし学習を行う[CLIP](https://openai.com/blog/clip/)が画像に対しどのような反応を行うか調べた研究。スパイダーマン、スパイダーマンの絵、さらに画像中のSpiderの文字に対し共通して反応する、トランプ前大統領の画像では側近のペンス氏に反応するなど、人間の反応に近い結果が得られた。
### 論文リンク
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How do I explain the decision of a neural net trained with multimodal inputs (e.g., a multimodal autoencoder-based classifier trained on different types of genomics data such as gene expression, DNA m…
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Hi, Could you answer me a questions? I come meet the problem that all patients' risk is a same value with the update of the network in the training time. Is the network too simple can explain the phen…
Ge-YL updated
2 weeks ago
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One of the strengths of `mlr3torch` is that it can easily handle multimodal data. This is because a neural network built out of `PipeOpTorch` operators can have multiple inputs (`PipeOpTorchIngress`).…
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Hello
I am trying to create a simple multi-modal network (car, transit) using pt2matsim. I have 16G in my pc and assigned 10G for heap memory. However, I am getting error as heap size is not enough.…
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你好,我看你Predicting circRNA-drug sensitivity associations by learning multimodal networks using graph auto-encoders and attention mechanism论文上写的auc和aupr是0.913和0.92.但是我在复习你代码的时候,什么都没做,跑出来的分数却是0.962,0.965.…
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https://www.google.co.kr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0ahUKEwiOl5Pj19LUAhVKvLwKHVpoDdcQFggvMAE&url=https%3A%2F%2Farxiv.org%2Fpdf%2F1611.00471&usg=AFQjCNEkNnTcTYyq7AI9uFuQKDHom0ai1w
CV…
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### 🚀 Feature
NeMo's NeVa (LLaVa) is a multimodal language model
Initial `examine`:
`Found 49 distinct operations, of which 39 (79.6%) are supported`
### Work items
- #145 (but looks like #…
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Prepare layers for, and build a multimodal Network Dataset. This will allow routing over both roads and existing Uniti Fiber fiber in a closest facility analysis.
- [x] Use the existing fiber net…