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Models/SplitEE-S

SplitEE-S

Reported on 8 benchmarks across 3 tasks · 1 paper · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing8 results

  • Natural Language InferenceonSNLI
    Accuracy· 2023-09-17
    79
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Semantic Textual SimilarityonQuora Question Pairs
    Accuarcy· 2023-09-17
    71.1
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Semantic Textual SimilarityonIMDb
    Accuracy· 2023-09-17
    82.2
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Semantic Textual SimilarityonYelp
    Accuracy· 2023-09-17
    76.7
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Paraphrase IdentificationonQuora Question Pairs
    Accuarcy· 2023-09-17
    71.1
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Paraphrase IdentificationonIMDb
    Accuracy· 2023-09-17
    82.2
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Paraphrase IdentificationonYelp
    Accuracy· 2023-09-17
    76.7
    SOTA
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195
  • Natural Language InferenceonSciTail
    Accuracy· 2023-09-17
    78.9
    best: 96.8 (CA-MTL)
    SplitEE: Early Exit in Deep Neural Networks with Split ComputingarXiv:2309.09195