Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
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Updated
Feb 1, 2023 - Python
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
Master Thesis on "Comparing Modular Approaches for Parameter-Efficient Fine-Tuning"
Low Tensor Rank adaptation of large language models
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".
Evaluate robustness of adaptation methods on large vision-language models
Code for fine-tuning Llama2 LLM with custom text dataset to produce film character styled responses
The code for generating natural distribution shifts on image and text datasets.
This project is an implementation of the paper: Parameter-Efficient Transfer Learning for NLP, Houlsby [Google], ICML 2019.
The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).
Code for SAFT: Self-Attention Factor-Tuning, a 16x more efficient solution for fine-tuning neural networks
Code for the Findings of NAACL 2022(Long Paper): AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks
[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
Code for EACL'23 paper "Udapter: Efficient Domain Adaptation Using Adapters"
[NeurIPS-2022] Annual Conference on Neural Information Processing Systems
Multi-domain Recommendation with Adapter Tuning
[ICRA 2024] Official Implementation of the Paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"
This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".
This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!
KR3: Korean Restaurant Review with Ratings / Experiments on Parameter-efficient Tuning and Task-adaptive Pre-training
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