SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing - Code World

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

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Origin blog.csdn.net/qq_40168949/article/details/129739985

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

SpeechT5: Unified-Modal Encoder-Decoder-Vorschulung für die Verarbeitung gesprochener Sprache

[Natural Language Processing | BERT] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Paper Explanation

Natural language processing from entry to application - dynamic word vector pre-training: bidirectional language model

Paper notes: Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training

Natural language processing from entry to application - dynamic word vector pre-training: ELMo word vector

Natural language processing from entry to application - overview of pre-training models: two types of tasks

[Natural Language Processing] [Large Model] CodeGeeX: A Multilingual Pre-Training Model for Code Generation

Paper notes: COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representati

【论文笔记】VLMO: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts

[Natural Language Processing] [Large Model] GLM-130B: An open source bilingual pre-training language model

The most complete history of natural language processing evaluation benchmark share - data collection, baseline (pre-training) model, corpus, leaderboard

[Natural Language Processing NLP] Bert pre-training model, CNN, LSTM model input and output detailed explanation on Bert

Continuous pre-training of large language models

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Cross-modal retrieval paper reading: Multi-Grained Vision Language Pre-Training: Aligning Texts with VisualConcepts(X-VLM)

Cross-modal retrieval paper reading: (PTP)Position-guided Text Prompt for Vision-Language Pre-training

LLM pre-training large language models Pre-training large language models

Keywords: pre-trained model, encoder-decoder, selfattention, AdamW, supervisory signal, deep learning, NLP

Encoder-decoder architecture

"Natural Language Processing" chapter7-pre-training language model

ViLBERT: Pre-training model for vision-language tasks

CLIP vs Language-Image Pre-training Algorithms

[Notes] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Decoder diffusion pre-training method for semantic segmentation

Uncovering the Encoder and Decoder Language Models

【论文笔记】BLIP: Bootstrapping Language-Image Pre-training forUnified Vision-Language Understanding and

【论文笔记】BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

【论文笔记】GPT-1：Improving Language Understanding by Generative Pre-Training

AMBERT! Beyond BERT! Multi-granularity token pre-training language model

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