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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Differentiable Subset Pruning of Transformer Heads ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Li, Jiaoda. - : Underline Science Inc., 2021 BASE Show details 2 Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ataman, Duygu; Li, Jiaoda. - : Underline Science Inc., 2021 BASE Show details 3 Differentiable subset pruning of transformer heads ... Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya. - : ETH Zurich, 2021 Abstract: Multi-head attention, a collection of several attention mechanisms that independently attend to different parts of the input, is the key ingredient in the Transformer. Recent work has shown, however, that a large proportion of the heads in a Transformer's multi-head attention mechanism can be safely pruned away without significantly harming the performance of the model; such pruning leads to models that are noticeably smaller and faster in practice. Our work introduces a new head pruning technique that we term differentiable subset pruning. Intuitively, our method learns per-head importance variables and then enforces a user-specified hard constraint on the number of unpruned heads. The importance variables are learned via stochastic gradient descent. We conduct experiments on natural language inference and machine translation; we show that differentiable subset pruning performs comparably or better than previous works while offering precise control of the sparsity level. ... : Transactions of the Association for Computational Linguistics, 9 ... URL: http://hdl.handle.net/20.500.11850/528141 https://dx.doi.org/10.3929/ethz-b-000528141 BASE Hide details 4 Differentiable subset pruning of transformer heads Li, Jiaoda; Cotterell, Ryan; Sachan, Mrinmaya In: Transactions of the Association for Computational Linguistics, 9 (2021) BASE Show details

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