ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterizationby Haoran You, Yipin Guo, Yichao Fu, Wei…
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Visionby Pranav Jeevan, Amit…
Domain Generalization Guided by Large-Scale Pre-Trained Priorsby Zongbin Wang, Bin Pan, Shiyu Shen, Tianyang Shi,…
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Taskby Jie Liu, Yao…
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHRby Ran…
LoCoCo: Dropping In Convolutions for Long Context Compressionby Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi…
Retrieval & Fine-Tuning for In-Context Tabular Modelsby Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan,…
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuningby Yibo Yang, Xiaojie…
Efficient Differentially Private Fine-Tuning of Diffusion Modelsby Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons,…
Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problemsby Abhiram Anand…