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Workshop
Fri 1:00 Oral Presentation 1: Parameter-Efficient Quantized MoE Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Workshop
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sagar Srinivas Sakhinana · Sannidhi Geethan · Chidaksh Ravuru · Venkataramana Runkana
Workshop
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sagar Srinivas Sakhinana · Sannidhi Geethan · Chidaksh Ravuru · Venkataramana Runkana
Poster
Thu 2:30 Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang · Jian Liang · Ran He · Zilei Wang · Tieniu Tan
Poster
Thu 2:30 Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
Shibo Jie · Yehui Tang · Ning Ding · Zhi-Hong Deng · Kai Han · Yunhe Wang
Oral
Wed 8:00 Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang · Qi Wei · Feng Liu · Lei Feng
Poster
Thu 4:30 Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang · Qi Wei · Feng Liu · Lei Feng
Poster
Wed 2:30 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
Jie ZHANG · Xiaosong Ma · Song Guo · Peng Li · Wenchao Xu · Xueyang Tang · Zicong Hong
Workshop
Sat 3:10 Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques
Oral
Thu 7:45 Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · Francesco Croce · Matthias Hein
Poster
Thu 4:30 Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · Francesco Croce · Matthias Hein
Workshop
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · Francesco Croce · Matthias Hein