BALTO: fast tensor program optimization with diversity-based active learning
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Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation
$\nabla$SD: Differentiable Programming for Sparse Tensors
tn4ml: Tensor Network Training and Customization for Machine Learning
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition
SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy
@article{bi2026balto,
title = {BALTO: fast tensor program optimization with diversity-based active learning},
author = {Jun Bi and Xiaqing Li and Qi Guo and Rui Zhang and Yuanbo Wen and Xingui Hu and Zidong Du and Xinkai Song and Yifan Hao and Yunji Chen},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:464c72fe8a7873c909213a8a49ad9275ac84906d},
journal = {ICLR 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/464c72fe8a7873c909213a8a49ad9275ac84906d)