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Found 6 papers, 3 papers with code
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
In spite of their huge success, transformer models remain difficult to scale in depth.
Data-driven grapheme-to-phoneme representations for a lexicon-free text-to-speech
Grapheme-to-Phoneme (G2P) is an essential first step in any modern, high-quality Text-to-Speech (TTS) system.
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
As a crucial component of contrastive learning, we propose two global context enhanced data augmentation methods while maintaining the semantics of the original session.
STING: Self-attention based Time-series Imputation Networks using GAN
Although recent works based on deep neural networks have shown remarkable results, they still have a limitation to capture the complex generation process of the multivariate time series.
PAC Mode Estimation using PPR Martingale Confidence Sequences
This problem reduces to the estimation of a single parameter when $\mathcal{P}$ has a support set of size $K = 2$.
Meta-Learning for Effective Multi-task and Multilingual Modelling
We present experiments on five different tasks and six different languages from the XTREME multilingual benchmark dataset.
