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40 Results
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Poster
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Thu 9:00 |
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting Tomasz Korbak · Hady Elsahar · Germán Kruszewski · Marc Dymetman |
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Workshop
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Pre-train, fine-tune, interpolate: a three-stage strategy for domain generalization Alexandre Rame · Jianyu Zhang · Leon Bottou · David Lopez-Paz |
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Poster
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Wed 14:00 |
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning WEICONG LIANG · YUHUI YUAN · Henghui Ding · Xiao Luo · Weihong Lin · Ding Jia · Zheng Zhang · Chao Zhang · Han Hu |
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Poster
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Tue 14:00 |
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Haokun Liu · Derek Tam · Mohammed Muqeeth · Jay Mohta · Tenghao Huang · Mohit Bansal · Colin Raffel |
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Workshop
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Sat 9:15 |
Petals: Collaborative Inference and Fine-tuning of Large Models Alexander Borzunov · Dmitry Baranchuk · Tim Dettmers · Max Ryabinin · Younes Belkada · Artem Chumachenko · Pavel Samygin · Colin Raffel |
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Poster
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Thu 9:00 |
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li · Daogao Liu · Tatsunori Hashimoto · Huseyin A. Inan · Janardhan Kulkarni · Yin-Tat Lee · Abhradeep Guha Thakurta |
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Workshop
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Sat 8:30 |
Petals: Collaborative Inference and Fine-tuning of Large Models Alexander Borzunov · Dmitry Baranchuk · Tim Dettmers · Max Ryabinin · Younes Belkada · Artem Chumachenko · Pavel Samygin · Colin Raffel |
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Poster
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Thu 9:00 |
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang · JInghao Deng · Xiaojun Quan · Qifan Wang · Shaoliang Nie |
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Poster
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Tue 14:00 |
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning Yanpeng Sun · Qiang Chen · Xiangyu He · Jian Wang · Haocheng Feng · Junyu Han · Errui Ding · Jian Cheng · Zechao Li · Jingdong Wang |
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Poster
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Tue 9:00 |
Improved Fine-Tuning by Better Leveraging Pre-Training Data Ziquan Liu · Yi Xu · Yuanhong Xu · Qi Qian · Hao Li · Xiangyang Ji · Antoni Chan · Rong Jin |
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Poster
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Tue 9:00 |
Fine-tuning language models to find agreement among humans with diverse preferences Michiel Bakker · Martin Chadwick · Hannah Sheahan · Michael Tessler · Lucy Campbell-Gillingham · Jan Balaguer · Nat McAleese · Amelia Glaese · John Aslanides · Matt Botvinick · Christopher Summerfield |
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Poster
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Thu 9:00 |
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks Tuan Dinh · Yuchen Zeng · Ruisu Zhang · Ziqian Lin · Michael Gira · Shashank Rajput · Jy-yong Sohn · Dimitris Papailiopoulos · Kangwook Lee |