如果说Transformer统一了视觉和语言,那么这个CRATE能否将Diffusion也加入进来可以值得思考(文中提到了Diffusion的可解释性上的不足,但并没有进一步展开讨论)。 五、参考文献 [1] Yu Y, Buchanan S, Pai D, et al. White-Box Transformers via Sparse Rate Reduction[J]. arXiv preprint arXiv:2306.01129, 2023....
在这个框架内,我们将上述三种看似不相关的方法统一起来,并展示了类似transformer的深度网络层可以自然地从展开迭代优化方案中派生出来,以逐步优化稀疏率降维目标。 The ‘main loop’ of the CRATE white-box deep network design. After encoding input data X as a sequence of tokens Z0, CRATE constructs a dee...
sparse rate reduction. From this perspective, popular deep networks such as transformers can be naturally viewed as realizing iterative schemes to optimize this objective incrementally. Particularly, we show that the standard transformer block can be derived from alternating optimization on complementary ...
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