Mar 6, 2024 · We propose a balanced sparsity (BaS) regularized attention network on top of the transformers, called BaSFormer.

May 19, 2023 · We proposed a balanced sparsity (BaS) regularized attention network on top of the Transformers, called BaSFormer.

Mar 6, 2024 · To address these limitations, we propose a balanced sparsity (BaS) regularized attention network on top of the transformers, called BaSFormer.

Apr 3, 2024 · To implement the BaS regularization in transformers, we defined a continuous loss function via an exponential extremum with an augmented ...

Oct 30, 2023 · To address these limitations, we proposed a balanced sparsity (BaS) regularized attention network on top of the Transformers, called BaSFormer.

To address these limitations, we propose a balanced sparsity (BaS) regularized attention network on top of the transformers, called BaSFormer. BaS ...

Apr 14, 2024 · The experimental results showed that BaSFormer improved the effectiveness of debiasing compared to that of the newest LLMs, such as the GPT-3.5, ...

BaSFormer: A Balanced Sparsity Regularized Attention Network for Transformer. S Jiang, Q Chen, Y Xiang, Y Pan, X Wu. IEEE/ACM Transactions on Audio, Speech ...

Attention based adaptive spatial-temporal hypergraph convolutional networks ... BaSFormer: A Balanced Sparsity Regularized Attention Network for Transformer.

This paper proposes a new framework for sparse and structured attention, building upon a smoothed max operator, and shows that the gradient of this operator ...