Baeseong Park
According to our database1,
Baeseong Park
authored at least 17 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation.
CoRR, 2024
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
CoRR, 2021
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity.
CoRR, 2021
2020
BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019