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Poster
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
Pouya M. Ghari · Yanning Shen
Workshop
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
Divij Gupta · Anubhav Bhatti · Surajsinh Parmar
Workshop
vTune: Verifiable Fine-Tuning Through Backdooring
Eva Zhang · Akilesh Potti · Micah Goldblum
Poster
Wed 11:00 Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
Zhan Zhuang · Yulong Zhang · Xuehao Wang · Jiangang Lu · Ying Wei · Yu Zhang
Workshop
Safety-Aware Fine-Tuning of Large Language Models
Hyeong Kyu Choi · Xuefeng Du · Sharon Li
Poster
Wed 16:30 Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
Chaeyun Jang · Hyungi Lee · Jungtaek Kim · Juho Lee
Workshop
RGP: Achieving Memory-Efficient Model Fine-tuning Via Randomized Gradient Projection
Ali Saheb Pasand · Pouya Bashivan
Workshop
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun · Yurong Chen · Siwei Wang · Wei Chen · Xiaotie Deng
Workshop
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
Benedict Aaron Tjandra · Muhammed Razzak · Jannik Kossen · Yarin Gal
Workshop
vTune: Verification of fine-tuning through backdooring
Eva Zhang · Akilesh Potti · Micah Goldblum
Workshop
Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition
Mariia Drozdova · Vitaliy Kinakh · Yury Belousov · Erica Lastufka · Slava Voloshynovskiy
Poster
Wed 11:00 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
Deep Pandey · Spandan Pyakurel · Qi Yu