2024 Poster "prompt tuning" Papers
16 papers found
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
Jie ZHANG, Xiaosong Ma, Song Guo et al.
ICML 2024poster
Bottom-Up Domain Prompt Tuning for Generalized Face Anti-Spoofing
SI-QI LIU, Qirui Wang, Pong Chi Yuen
ECCV 2024poster
8
citations
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang, Qi Wei, Feng Liu et al.
ICML 2024posterarXiv:2406.10502
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan, Andrew Wilson, Qi Lei
ICML 2024posterarXiv:2403.02695
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou, Ming Yang, Jiang-Xin Shi et al.
ICML 2024posterarXiv:2406.00345
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun, Ziyue Xu, Hongxu Yin et al.
ICML 2024posterarXiv:2310.01467
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui, Hongxia Li, Jingya Wang et al.
ICML 2024posterarXiv:2405.09771
MagicEraser: Erasing Any Objects via Semantics-Aware Control
FAN LI, Zixiao Zhang, Yi Huang et al.
ECCV 2024posterarXiv:2410.10207
13
citations
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg, Joseph K J, Vineeth N Balasubramanian et al.
ECCV 2024posterarXiv:2504.18059
Prompt-based Visual Alignment for Zero-shot Policy Transfer
Haihan Gao, Rui Zhang, Qi Yi et al.
ICML 2024posterarXiv:2406.03250
1
citations
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
Haoran Chen, Zuxuan Wu, Xintong Han et al.
ECCV 2024posterarXiv:2303.07223
21
citations
Prompting a Pretrained Transformer Can Be a Universal Approximator
Aleksandar Petrov, Phil Torr, Adel Bibi
ICML 2024posterarXiv:2402.14753
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
Wentao Bao, Lichang Chen, Heng Huang et al.
ECCV 2024posterarXiv:2305.14428
34
citations
Prompt-tuning Latent Diffusion Models for Inverse Problems
Hyungjin Chung, Jong Chul YE, Peyman Milanfar et al.
ICML 2024posterarXiv:2310.01110
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao, Xiaohan Ding, Juexiao Feng et al.
ECCV 2024posterarXiv:2407.10704
9
citations
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
Yang Zhou, Yongjian Wu, Jiya Saiyin et al.
ECCV 2024posterarXiv:2407.11414
2
citations