Reproduce “Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Md Mushfiqur Rahaman, Elliot Chang, Tasmiah Haque, Srinjoy Das
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.