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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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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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Workshop
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Efficient Domain Adaptation of Robotic Foundation Models via Hypernetwork-Generated LoRA
Zheng Xiong · Siddhant Sharma · Kang Li · Risto Vuorio · Shimon Whiteson
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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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Workshop
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Memory Efficient Adaptive Stochastic Optimization via Subset-Norm
Thien H Nguyen · Huy Nguyen
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Workshop
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Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Yoonsang Lee · Minsoo Kim · seung-won hwang
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Affinity Event
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Test-Time Adaptation with State-Space Models
Mona Schirmer
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Poster
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Thu 11:00
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Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
Haoqi Yuan · Yuhui Fu · Feiyang Xie · Zongqing Lu
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