Vahid Partovi Nia

Orcid: 0000-0001-6673-4224

According to our database1, Vahid Partovi Nia authored at least 50 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
OAC: Output-adaptive Calibration for Accurate Post-training Quantization.
CoRR, 2024

AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs.
CoRR, 2024

Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
Training Integer-Only Deep Recurrent Neural Networks.
SN Comput. Sci., September, 2023

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models.
SN Comput. Sci., September, 2023

Mathematical Challenges in Deep Learning.
CoRR, 2023

Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm.
CoRR, 2023

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization.
Proceedings of the 20th Conference on Robots and Vision, 2023

2022
KronA: Parameter Efficient Tuning with Kronecker Adapter.
CoRR, 2022

SeKron: A Decomposition Method Supporting Many Factorization Structures.
CoRR, 2022

Integer Fine-tuning of Transformer-based Models.
CoRR, 2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.
CoRR, 2022

Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks.
CoRR, 2022

Is Integer Arithmetic Enough for Deep Learning Training?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

iRNN: Integer-only Recurrent Neural Network.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Kronecker Decomposition for GPT Compression.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Parallel coordinate order for high-dimensional data.
Stat. Anal. Data Min., 2021

KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation.
CoRR, 2021

S<sup>3</sup>: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.
CoRR, 2021

A Twin Neural Model for Uplift.
CoRR, 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Demystifying and Generalizing BinaryConnect.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Binary-Ternary Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Tensor train decompositions on recurrent networks.
CoRR, 2020

Clustering Causal Additive Noise Models.
CoRR, 2020

Importance of Data Loading Pipeline in Training Deep Neural Networks.
CoRR, 2020

Batch Normalization in Quantized Networks.
CoRR, 2020

Activation Adaptation in Neural Networks.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Differentiable Mask for Pruning Convolutional and Recurrent Networks.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020

2019
Random Bias Initialization Improving Binary Neural Network Training.
CoRR, 2019

Smart Ternary Quantization.
CoRR, 2019

A Study on Binary Neural Networks Initialization.
CoRR, 2019

Differentiable Mask Pruning for Neural Networks.
CoRR, 2019

Foothill: A Quasiconvex Regularization Function.
CoRR, 2019

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.
Bioinform., 2019

Deep Demosaicing for Edge Implementation.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Active Learning for High-Dimensional Binary Features.
Proceedings of the 15th International Conference on Network and Service Management, 2019

2018
BNN+: Improved Binary Network Training.
CoRR, 2018

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Flight deck crew reserve: From data to forecasting.
Eng. Appl. Artif. Intell., 2016

An Online Data Validation Algorithm for Electronic Nose.
Proceedings of the Pattern Recognition Applications and Methods, 2016

Statistical Measurement Validation with Application to Electronic Nose Technology.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016


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