Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference

Benchmark Model Rank Results
natural-language-inference-on-scitailCAFEAccuracy: 83.3
natural-language-inference-on-snli300D CAFE% Test Accuracy: 88.5% Train Accuracy: 89.8Parameters: 4.7m
natural-language-inference-on-snli300D CAFE (no cross-sentence attention)% Test Accuracy: 85.9% Train Accuracy: 87.3Parameters: 3.7m
natural-language-inference-on-snli300D CAFE Ensemble% Test Accuracy: 89.3% Train Accuracy: 92.5Parameters: 17.5m