Summary of Cvit: Continuous Vision Transformer For Operator Learning, by Sifan Wang et al.
CViT: Continuous Vision Transformer for Operator Learningby Sifan Wang, Jacob H Seidman, Shyam Sankaran, Hanwen…
CViT: Continuous Vision Transformer for Operator Learningby Sifan Wang, Jacob H Seidman, Shyam Sankaran, Hanwen…
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiersby Felix den Breejen, Sangmin Bae, Stephen…
Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom…
Your Transformer is Secretly Linearby Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets,…
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuningby Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen…
Asymptotic theory of in-context learning by linear attentionby Yue M. Lu, Mary I. Letey, Jacob…
TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Modelsby Junlong Jia, Ying Hu, Xi…
Hierarchical Selective Classificationby Shani Goren, Ido Galil, Ran El-YanivFirst submitted to arxiv on: 19 May…
UniCL: A Universal Contrastive Learning Framework for Large Time Series Modelsby Jiawei Li, Jingshu Peng,…
LoRA Learns Less and Forgets Lessby Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz, Mansheej…