Browsing: Yannic Kilcher
#vos #outliers #deeplearning Sponsor: Assembly AI Check them out here: Outliers are data points that are highly unlikely to be…
#deeplearning #objectdetection #outliers An interview with the authors of “Virtual Outlier Synthesis”. Watch the paper review video here: Outliers are…
#multitasklearning #biology #neuralnetworks Catastrophic forgetting is a big problem in mutli-task and continual learning. Gradients of different objectives tend to…
#multitasklearning #biology #neuralnetworks This is an interview with the paper’s authors: Abhiram Iyer, Karan Grewal, and Akash Velu! Paper Review…
#mlnews #gtc22 #ithaca GTC Registration Link: Your regular updates on what’s going on in the ML world! OUTLINE: 0:00 -…
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation
#blip #review #ai Cross-modal pre-training has been all the rage lately in deep learning, especially training vision and language models…
#blip #interview #salesforce Paper Review Video: Sponsor: Assembly AI This is an interview with Junnan Li and Dongxu Li, authors…
Typical Decoding for Natural Language Generation (Get more human-like outputs from language models!)
#deeplearning #nlp #sampling Modern language models like T5 or GPT-3 achieve remarkably low perplexities on both training and validation data,…
#deeplearning #nlp #sampling This is an interview with first author Clara Meister. Paper review video hereé Modern language models like…
#nlp #gpt3 #prompt Large language models such as GPT-3 have enabled many breakthroughs and new applications recently, but they come…