Locality Sensitive Sparse Encoding for Learning World Models Online
Zichen Liu, Chao Du, Wee Sun Lee, Min Lin.
ICLR 2024
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin.
ICML 2023
Continual Learning from the Perspective of Compression
Xu He, Min Lin.
ICML 2020, Continual Learning Workshop
Gradient Based Sample Selection for Online Continual Learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio.
NeurIPS 2019
Automatic Functional Differentiation in JAX
Min Lin
ICLR 2024
JAX-XC: Exchange Correlation Functionals Library in JAX
Kunhao Zheng, Min Lin
ICLR 2023 Workshop ML4Materials
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan.
ICLR 2023
Zero Bubble Pipeline Parallelism
Penghui Qi, Xinyi Wan, Guangxing Huang, Min Lin
ICLR 2024
Envpool: A Highly Parallel Reinforcement Learning Environment Execution Engine
Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu and Shuicheng Yan.
NeurIPS 2022, Datasets and Benchmarks Track
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang.
NIPS 2015, Workshop on Machine Learning Systems
Purine: A
Graph Based Parallelization Framework for Deep Learning
Min Lin, Shuo Li, Xuan Luo and Shuicheng Yan.
ICLR 2015, Workshop