-
Hi, thanks for sharing the codes.
After reading your paper, I have some questions:
- In your paper, you trained the network on Blackbird and VID dataset, and tested on "unseen simple trajectoris…
-
The current implementation lacks cross-validation, which could lead to biased results. Implementing k-fold cross-validation would provide a better assessment of model performance and generalization.
-
Hi, I also interested in Double-Descent-Curve(DDC). I'm troubled by DDC because of different paper have own setting, such as
1 #Deep Double Descent: Where Bigger Models and More Data Hurt#
2 #Scalin…
-
Will KataGo switch over to SENets? Especially when you add in bias terms, they effectively seem to be a generalization of global pooling.
-
A running issue to keep track of other tasks and datasets with biases, which may be amenable to a similar methodology.
- [Stance Detection Benchmark: How Robust Is Your Stance Detection?](https://…
-
I don't know if we'll have time for this, but it would be really nice to try to get some simple generalization information on, for example, the Pagie-1 problem and maybe something like US Change. Does…
-
## 🚀 Feature
Multilinear layer: a generalization of the Linear and Bilinear layers/functions to any configurable number of variables. This should be a learnable multilinear map that does the equivale…
-
WOOD score paper : https://arxiv.org/pdf/2007.06898.pdf
Abstract :
>Models that surpass human performance on several popular benchmarks display significant degradation in performance on exposure…
-
You mentioned in the paper that the sample weight w is used to remove the confounder bias from C(X). However, under the unconfoundedness assumption, there are no unobserved confounders and hence there…
-
## Abstract
- Adaptive methods such as Adam, Adagrad, RMSprop performa well in initial portion of training, but have been found to generalize poorly compared to SGD at the end
- Propose SWATS, a sim…