Machine Learning, NLP, Computer Vision, Information Retrieval, Transformers.
benchmarks, and despite being very rough on the edges, this paper is based on a very simple change in loss functions for neural retrieval with promising results. 💡Key insights → Modern neural re-rankers work in two steps to alleviate the high computational cost of running a full neural network to