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cs.LG2024
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks
Tahseen Rabbani, Jiahao Su, Xiaoyu Liu +3
Modern ConvNets continue to achieve state-of-the-art results over a vast array of vision and image classification tasks, but at the cost of increasing parameters. One strategy for…
cs.LG2023
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification
Anirudh S. Sundar, Chao-Han Huck Yang, David M. Chan +3
Training large foundation models using self-supervised objectives on unlabeled data, followed by fine-tuning on downstream tasks, has emerged as a standard procedure. Unfortunately…