Hello, I am doing research for my project and I need your help. There is a closed pizza box on the table in a 5 sec part of a movie, I want to replace this pizza box with Pizza H*t, *ominos, etc. There are only a few Pizza H*t boxes in my dataset, so the artificial intelligence model will need to use a technique similar to "Few Shot Learn". I thought...

Currently taking the FCC Machine Learning Course. I dont know how to correctly interpret the probabilities of the Model.predict function output. The CNN is meant to determine whether is an image of a cat or a dog. Some probabilities are negative and very low. I dont know how to interpret that data. Also mention the model achieves its goal with an...

So I am doing an internship project at a company that is as the title says.I basically need to classify human faces into 7 categories- Anger, disgust, happy, etc. Currently I'm trying to achieve good accuracy on FER 2013 dataset then I'll move to the Real Time capture part I need to finish this project in like 2 weeks' time. I have tried transfer learning...

I'm trying to calculate past key values for llama-2 model from scratch, and followed all the steps including normalizing the hidden states values followed by matrix multiplication of weight vectors with hidden states and finally application of RoPE. Even after doing all of this, past key values don't match with the ones obtained from the model. Does...

Hey! This is my first time submitting to NeurIPS. Does anyone know when the reviews are visible to the authors? August, or is it possible that earlier? If we have really bad reviews... The best thing is to exit the submission path, right? In that case, which alternatives do you recommend on those dates? My topic is NN reliability, but I am always underconfident...

Hi there, A recent grad here that finally has some time to learn the actual interesting stuff. I want to get myself familiar with modern machine learning. I read the most well-known paper like Attention is all you Need, CLIP, Vision Transformers, but I am sure that I missed the majority of the important papers. Jumping directly into reading recent ICML/NIPS...