Tubidy MP3 & MP4

En popüler MP3 müziklerinizi ve MP4 videolarınızı ücretsiz indirin. Geniş bir multimedya içeriği seçkisini keşfedin ve sorunsuz indirmelerin tadını çıkarın.

[AutoMLConf'22]: Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
[AutoMLConf'22]: Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

İlgili Videolar

[AutoMLConf'22]: Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning

[AutoMLConf'22]: Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning

|
[AutoMLConf'22]:Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning Teaser

[AutoMLConf'22]:Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning Teaser

|
Meta-learning for fast Neural Network fine-tuning

Meta-learning for fast Neural Network fine-tuning

|
Fine Tuning LLMs in Google Colab: Parameter Efficient Fine Tuning

Fine Tuning LLMs in Google Colab: Parameter Efficient Fine Tuning

|
The Vital Role of Parameter-Efficient Finetuning (PEFT) in Custom LLM Applications

The Vital Role of Parameter-Efficient Finetuning (PEFT) in Custom LLM Applications

|
AAAI2023 On the Effectiveness of Parameter-Efficient Fine-Tuning

AAAI2023 On the Effectiveness of Parameter-Efficient Fine-Tuning

|
CVPR 2023 Bi-level Meta-learning for Few-shot Domain Generalization

CVPR 2023 Bi-level Meta-learning for Few-shot Domain Generalization

|
Meta-Learning of Neural Architectures for Few-Shot Learning

Meta-Learning of Neural Architectures for Few-Shot Learning

|
A Survey on Meta-learning Based Few-shot Classification

A Survey on Meta-learning Based Few-shot Classification

|
A Guide to Parameter-Efficient Fine-Tuning - Vlad Lialin | Munich NLP Hands-on 021

A Guide to Parameter-Efficient Fine-Tuning - Vlad Lialin | Munich NLP Hands-on 021

|
Learning from Few Samples - Meta Learning - Deep Learning

Learning from Few Samples - Meta Learning - Deep Learning

|
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment

PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment

|
Few-Shot Open-Set Recognition Using Meta-Learning

Few-Shot Open-Set Recognition Using Meta-Learning

|
LLaMA-Adapter Efficient Fine-tuning of LLaMA

LLaMA-Adapter Efficient Fine-tuning of LLaMA

|
Meta Learning

Meta Learning

|
Lecture on Deep Meta-Learning (MAML, Matching network, Prototypical network)

Lecture on Deep Meta-Learning (MAML, Matching network, Prototypical network)

|
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

|
[WACV 2022] A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation

[WACV 2022] A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation

|
Tutorial - Understanding meta learning for fast adaptation

Tutorial - Understanding meta learning for fast adaptation

|
Oriol Vinyals: Perspective and Frontiers of Meta-Learning

Oriol Vinyals: Perspective and Frontiers of Meta-Learning

|

Favorilere Ekle