I just submitted an abstract to Neurips 2024. I was so impressed with my self for being two days early, and yet, my paper ID is over 7000. In the past I recall paper IDs were incremented as openreview received more submissions. Surely, this year it’s not the case! 7000 submissions already?! submitted by /u/fixed-point-learning [link] [comments]

Is there a way to do k-fold cross validation with low rank adaptation? I’m not sure how to implement and evaluate with the PEFT library. submitted by /u/ImitatingTheory [link] [comments]

I am looking for the SOTA light weight answer generating open source LLM from context (disorganized multiple paragraphs) and question in English in HuggingFace. Can anyone suggest any from HuggingFace. The best performing are seems like eating up all the storage even the sharded versions. I am looking for something whichs model/weight file is around...

I have a BERT based classifier and have decided that I want a different threshold for my model’s decision boundary. I have a only a few (dozen) examples of labels that exemplify this new threshold. It seems to me shifting the last layer predictions to this new decision boundary without gradient training should be easy and wouldn’t need many examples....

What are some of your favorite data labeling tools? I know of the following: https://github.com/cleanlab/cleanlab This is for noisy labels https://github.com/voxel51/fiftyone This one is an image search engine But would like to know what everyone else is using submitted by /u/Odd_Background4864 [link] [comments]

Hey everyone, I am looking for some suggestions to work on this task. I have a few time series with only 30/40 observations and of course we all agree this is a really limited amount data. I want to forecast some financial metrics and I have only these few observations because data were collected on monthly basis. Do you have any suggestions? Of course...