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Workshop
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Automated Data Curation for Robust Language Model Fine-Tuning
Jiuhai Chen · Jonas Mueller
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Poster
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Tue 4:30
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Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
Fangzhao Zhang · Mert Pilanci
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Workshop
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Seeded LoRA: Collaborative Fine-Tuning Through Seed Initialization of Adapters
Alejandro Rodriguez Salamanca · Ahmet Üstün · Nicki Skafte Detlefsen · Tim Dettmers
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Poster
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Tue 2:30
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Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu · Sang Michael Xie
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Poster
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Wed 2:30
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Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Jing Xu · Jingzhao Zhang
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Oral
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Thu 7:45
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Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · Francesco Croce · Matthias Hein
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Poster
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Thu 2:30
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Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang · Jian Liang · Ran He · Zilei Wang · Tieniu Tan
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Workshop
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Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · Francesco Croce · Matthias Hein
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Workshop
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CADO: Cost-Aware Diffusion Solvers for Combinatorial Optimization through RL fine-tuning
Deunsol Yoon · Hyungseok Song · Kanghoon Lee · Woohyung Lim
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Workshop
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AdaNF: Quantization Group Adaptive NormalFloat for Low Bit Fine-tuning of LLMs
Yeojoon Youn · Sehoon Kim · Suhong Moon · Sang Keun Choe · Ce Zhang
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Poster
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Thu 4:30
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Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · Francesco Croce · Matthias Hein
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Poster
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Tue 4:30
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Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
Yuchen Yang · Yingdong Shi · Cheems Wang · Xiantong Zhen · Yuxuan Shi · Jun Xu
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