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- short-paperJuly 2023
Power Norm Based Lifelong Learning for Paraphrase Generations
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 2266–2271https://doi.org/10.1145/3539618.3592039Lifelong seq2seq language generation models are trained with multiple domains in a lifelong learning manner, with data from each domain being observed in an online fashion. It is a well-known problem that lifelong learning suffers from the catastrophic ...
- articleJune 2003
Complexity considerations for transform-domain adaptive filters
Signal Processing (SIGN), Volume 83, Issue 6Pages 1177–1192https://doi.org/10.1016/S0165-1684(03)00038-0This paper is concerned with the computational complexity and convergence performance of transform-domain adaptive filtering algorithms. In particular, the transform-domain least-mean-square algorithm and the generalized subband decomposition LMS ...
- articleSeptember 2002
Continuation theorems of the extremes under power normalization
In this paper an important stability property of the extremes under power normalizations is discussed. It is proved that the restricted convergence of the power normalized extremes on an arbitrary nondegenerate interval implies the weak convergence. ...
