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Found 7 papers, 3 papers with code
MAVERIX: Multimodal Audio-Visual Evaluation Reasoning IndeX
Frontier models have either been language-only or have primarily focused on vision and language modalities.
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.
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.
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.
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.
