Summary of Self-taught Recognizer: Toward Unsupervised Adaptation For Speech Foundation Models, by Yuchen Hu et al.
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Modelsby Yuchen Hu, Chen Chen, Chao-Han Huck…
Summary of Understanding the Training and Generalization Of Pretrained Transformer For Sequential Decision Making, by Hanzhao Wang et al.
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Makingby Hanzhao Wang, Yu…
Summary of Text-to-model: Text-conditioned Neural Network Diffusion For Train-once-for-all Personalization, by Zexi Li et al.
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalizationby Zexi Li, Lingzhi Gao, Chao WuFirst submitted…
Summary of Transformers Can Learn Temporal Difference Methods For In-context Reinforcement Learning, by Jiuqi Wang et al.
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learningby Jiuqi Wang, Ethan Blaser, Hadi…
Summary of Scaling-laws For Large Time-series Models, by Thomas D. P. Edwards et al.
Scaling-laws for Large Time-series Modelsby Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H.…
Summary of A Transformer Variant For Multi-step Forecasting Of Water Level and Hydrometeorological Sensitivity Analysis Based on Explainable Artificial Intelligence Technology, by Mingyu Liu et al.
A Transformer variant for multi-step forecasting of water level and hydrometeorological sensitivity analysis based on…
Summary of A Versatile Diffusion Transformer with Mixture Of Noise Levels For Audiovisual Generation, by Gwanghyun Kim et al.
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generationby Gwanghyun Kim, Alonso…
Summary of Advancing Graph Convolutional Networks Via General Spectral Wavelets, by Nian Liu et al.
Advancing Graph Convolutional Networks via General Spectral Waveletsby Nian Liu, Xiaoxin He, Thomas Laurent, Francesco…
Summary of Leveraging 2d Information For Long-term Time Series Forecasting with Vanilla Transformers, by Xin Cheng et al.
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformersby Xin Cheng, Xiuying Chen,…
Summary of Fine-tuned In-context Learning Transformers Are Excellent Tabular Data Classifiers, by Felix Den Breejen et al.
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiersby Felix den Breejen, Sangmin Bae, Stephen…