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Workshop
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RGP: Achieving Memory-Efficient Model Fine-tuning Via Randomized Gradient Projection
Ali Saheb Pasand · Pouya Bashivan
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Workshop
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Memory-Efficient Large Language Model (LLM) Training and Fine-Tuning via Gradient Subspace Tracking
Sahar Rajabi · Sirisha Rambhatla
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Poster
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Wed 11:00
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Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
Kunjal Panchal · Nisarg Parikh · Sunav Choudhary · Lijun Zhang · Yuriy Brun · Hui Guan
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Workshop
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FlashDP: Memory-Efficient and High-Throughput DP-SGD Training for Large Language Models
Liangyu Wang · Junxiao Wang · Jie Ren · Zihang Xiang · David Keyes · Di Wang
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Poster
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Fri 11:00
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KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
Youngwan Lee · Kwanyong Park · Yoorhim Cho · Yong-Ju Lee · Sung Ju Hwang
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Poster
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Fri 16:30
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LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Rui Pan · Xiang Liu · SHIZHE DIAO · Renjie Pi · Jipeng Zhang · Chi Han · Tong Zhang
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Poster
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Wed 16:30
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Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
Dongwon Jo · Taesu Kim · Yulhwa Kim · jae-joon kim
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Workshop
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Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models
Tiejin Chen · Kaishen Wang · Hua Wei
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Workshop
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Dual-Model Distillation for Efficient Action Classification with Hybrid Edge-Cloud Solution
Timothy Wei · Hsien Xin Peng · Elaine Xu · Bryan Zhao · Lei Ding · Diji Yang
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Workshop
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Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models
Felix Stahlberg · Jared Lichtarge · Shankar Kumar
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Poster
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Thu 16:30
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SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao · Xuerui Zhang · Ke Yan · Shouhong Ding · Weiran Huang
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Workshop
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Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim · Wonjun Kang · Yuchen Zeng · HYUNG IL KOO · Kangwook Lee
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