Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models.

[BibT_eX]

[DOI]

Yingtao Zhang

Carlo Vittorio Cannistraci

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Structured Pruning for Efficient Generative Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Efficient Post-training Quantization of Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamically Pruning Segformer for Efficient Semantic Segmentation.

[BibT_eX]

[DOI]

Haoli Bai

Hongda Mao

Dinesh Nair

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Gradient estimation of information measures in deep learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Discrete Auto-regressive Variational Attention Models for Text Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

DAP-BERT: Differentiable Architecture Pruning of BERT.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

BinaryBERT: Pushing the Limit of BERT Quantization.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Structured pruning of recurrent neural networks through neuron selection.

[BibT_eX]

[DOI]

Neural Networks, 2020

DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.

[BibT_eX]

[DOI]

Neural Networks, 2020

Bayesian Automatic Model Compression.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

BinaryBERT: Pushing the Limit of BERT Quantization.

[BibT_eX]

[DOI]

CoRR, 2020

Discrete Variational Attention Models for Language Generation.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting Parameter Sharing for Automatic Neural Channel Number Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TranSlider: Transfer Ensemble Learning from Exploitation to Exploration.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

M-NAS: Meta Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

RTN: Reparameterized Ternary Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Few Shot Network Compression via Cross Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Variational Random Function Model for Network Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Structured Pruning of Recurrent Neural Networks through Neuron Selection.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Structured Inference for Recurrent Hidden Semi-markov Model.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Neural Relational Topic Models for Scientific Article Analysis.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Stochastic Sequential Neural Networks with Structured Inference.

[BibT_eX]

[DOI]

CoRR, 2017

Learning from semantically dependent multi-tasks.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Haoli Bai

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