Our ICML 2024 roundup: sparsity, speculative sampling and schnitzel
Scaling continues to be a super hot topic of research and our selection of papers for this month all tackle different angles of how to scale models efficient...
Improving transformers is now not “just one area” of machine learning research. This is illustrated by the breadth of papers we got excited about this month,...
May is always an eventful time of year for ML researchers, with final ICML paper decisions and ICLR taking place in early May, and NeurIPS submission deadlin...