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## ざっくり言うと
- 3つのレベルで処理を行い,SOTAモデルを上回る性能
- 単語レベルのマッチング
- 複数レベルのマッチングを行うkernel pooling
- ランキングスコアを決定するlearning-to-rankモデル
- queryとdocumentのソフトマッチングが良い結果に繋がったと分析
- 下の概要図と,式の流れがとても分かりやすい
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This is not about a problem I've encountered, but about a small suggestion for ranking features used. So every time I use Twitter, I noticed that I usually spend more time on a tweet if I find it more…
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I can't find anything about the mean average precison of your new system (CEDR). Am I missing something or did you really not measured it? Since it's the most common evaluation metric in IR I wonder w…
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I am very interested in your paper "Neural-IR-Explorer: A Content Focused Tool to Explore Neural Re-Ranking Results." Happy to see work going in this direction. I was trying to set up your "Neural IR …
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Goal: create a new module (for now say: `cleanlab.experimental.training_dynamics`) that allows users to provide model outputs/info at every iteration (aka checkpoint) of an iteratively trained model (…
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### 🚀 The feature, motivation and pitch
I am currently working on graph neural network applications to recommender systems. A common loss function that keeps coming is the Bayesian Personalized Ranki…
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[Local collaborative autoencoders](https://sci-hub.ru/https://dl.acm.org/doi/abs/10.1145/3437963.3441808)
[Local latent space models for top-n recommendation](https://sci-hub.ru/https://dl.acm.org/do…
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Hi !
I tried to execute the basic_training notebook on Google collab.
The `trainer.train()` phase is stuck in something an infinite loop for hours after printing only "#> Starting..."
Here is the c…
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Hello @layumi , thank you for your work
I was trying to reproduce the result in paper "Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective" using your pytorch code, but I'm…
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My suggestion is about project Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective. The current cuda version seems not that easy for a fast verification due to unexpected comp…