Were RNNs All We Needed?

2 October 2024

Papers citing "Were RNNs All We Needed?"

7 / 7 papers shown

Title
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion Qisai Liu Zhanhong Jiang Joshua R. Waite Chao Liu Aditya Balu S. Sarkar AI4TS 24 0 0 11 Apr 2025
Exploring Performance-Complexity Trade-Offs in Sound Event Detection T. Morocutti Florian Schmid Jonathan Greif Francesco Foscarin Gerhard Widmer 36 0 0 14 Mar 2025
Transformers without Normalization Jiachen Zhu Xinlei Chen Kaiming He Yann LeCun Zhuang Liu ViT OffRL 43 6 0 13 Mar 2025
MinGRU-Based Encoder for Turbo Autoencoder Frameworks Rick Fritschek Rafael F. Schaefer 61 0 0 11 Mar 2025
From Small to Large Language Models: Revisiting the Federalist Papers So Won Jeong Veronika Rockova 37 0 0 25 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 51 0 0 01 Feb 2025
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 81 8 0 17 Jan 2025