A Statistical Framework for Low-bitwidth Training of Deep Neural Networks

Benchmark Model Rank Results
linguistic-acceptability-on-colaPSQ (Chen et al., 2020)#15Accuracy: 67.5
natural-language-inference-on-multinliPSQ (Chen et al., 2020)#10Matched: 89.9
natural-language-inference-on-qnliPSQ (Chen et al., 2020)#13Accuracy: 94.5
natural-language-inference-on-rtePSQ (Chen et al., 2020)#20Accuracy: 86.8
semantic-textual-similarity-on-mrpcPSQ (Chen et al., 2020)#9Accuracy: 90.4
semantic-textual-similarity-on-sts-benchmarkPSQ (Chen et al., 2020)#6Pearson Correlation: 0.919
sentiment-analysis-on-sst-2-binaryPSQ (Chen et al., 2020)#19Accuracy: 96.2