-
- Geography-Aware Self-supervised Learning Paper
- Functional Map of the World (FMoW)
- [x] @TsungChinHanKen
- [x] @suryatechie
- [x] @taeil
- [x] @oropezaev
taeil updated
3 years ago
-
Regarding the issue of video saliency performance: I noticed in your paper's section on video saliency that the F-value in the metrics has a significant difference compared to previous papers. What is…
-
## Why
- provide an idea of how many 'relevant' are there in the unlabeled candidate set #57
- estimate the precision (efficiency) of future review-- how many relevant can be found if we review N…
-
Hello,
- I am currently working on NLP: Semantic Search proof of concept.
- as per our research, BERT and XLNet are better performing model for Semantic Search (any other suggestion are welcome)
…
-
## Paper information
Title: Image GPT: Generative Pretraining from Pixels
Authors: Mark Chen, Alec Radford, Rewon Child, Jeff Wu, Heewoo Jun, David Luan, Ilya Sutskever
pdf link: https://cdn.openai…
-
Graph generative models are important for the tasks we have been describing.
The core idea is to posit a model which defines some distribution over graphs ```P(G)```, for instance via a low dimensi…
-
Hi,
I am using the CLI variant of the tool to learn the, the term-topic matrix (interpreting the topics), the document-topic matrix (classifying the documents) and some experiments in semi-supervised…
-
Hi. Thanks for your great work. Recently we are following your work (Proficient Teacher) on Table 3 in the manuscript: Generalizability on different detectors with our SSL method. In Table 3, you give…
-
hello, the audio only results in docs seems great, could you tell me what features do you use and model construction?
-
Currently, we are experiencing extreme overrepresentation of Hypendymal cells after running InSituType.
It seems to be the go-to celltype when the data is shallow. Although the data has passed QC me…