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Workshop
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Fine-Tuning a Time Series Foundation Model with Wasserstein Loss
Andrei Chernov
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Workshop
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vTune: Verification of fine-tuning through backdooring
Eva Zhang · Akilesh Potti · Micah Goldblum
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Workshop
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Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors
Himanshu Thakur · Eshani Agrawal · Smruthi Mukund
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Poster
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Fri 11:00
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PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni · Shan Zhang · Piotr Koniusz
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Workshop
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You can remove GPT2's LayerNorm by fine-tuning
Stefan Heimersheim
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Workshop
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You can remove GPT2's LayerNorm by fine-tuning
Stefan Heimersheim
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Workshop
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Fine-tuning Vision Classifiers On A Budget
Sunil Kumar · Ted Sandler · Paulina Varshavskaya
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Workshop
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Sat 15:45
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Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs
Ruijia Niu · Dongxia Wu · Rose Yu · Yian Ma
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Affinity Event
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Harnessing Public Opinion with Fine-Tuned Language Models
Jenifer Za Nzambi
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Workshop
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Sun 9:45
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LoFiT: Localized Fine-tuning on LLM Representations
Fangcong Yin · Xi Ye · Greg Durrett
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Workshop
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ZO-Offloading: Fine-Tuning LLMs with 100 Billion Parameters on a Single GPU
Liangyu Wang · Jie Ren · Hang Xu · Junxiao Wang · David Keyes · Di Wang
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Poster
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Wed 11:00
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Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
Deep Pandey · Spandan Pyakurel · Qi Yu
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