Connect with us
Pretrained language models (PLMs) like BERT, RoBERTa, and DeBERTa, when fine-tuned on task-specific data, have demonstrated exceptional performance across a diverse array of natural-language tasks, including...
In 2021 and 2022, when Amazon Science asked members of the program committees of the Knowledge Discovery and Data Mining Conference (KDD) to discuss the state...
When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. “Learning to...
Opportunities to show ads on the worldwide web are typically sold in real time through advertising auctions, held billions of times per day, every day. A...
At this year’s Conference on Knowledge Discovery and Data Mining (KDD), Amazon hosted a workshop in which we announced the results of our ESCI Challenge for...
Graphs are a useful way to represent data, since they capture connections between data items, and graph neural networks (GNNs) are an increasingly popular way to...
As general chair of this year’s ACM Conference on Knowledge Discovery and Data Mining (KDD), Huzefa Rangwala, a senior manager at the Amazon Machine Learning Solutions...
In April, our research team at Amazon open-sourced our PECOS framework for extreme multilabel ranking (XMR), which is the general problem of classifying an input when...
As Amazon Scholar Chandan Reddy recently observed, graph neural networks are a hot topic at this year’s Conference on Knowledge Discovery and Data Mining (KDD). Graph neural networks...
As a Senior Program Committee member at this year’s Knowledge Discovery and Data Mining Conference (KDD), with a wide perspective on paper submissions, Chandan Reddy noticed...