Poster "pre-trained models" Papers
22 papers found
Conference
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
Hao Zhu, Yifei Zhang, Junhao Dong et al.
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun et al.
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang et al.
Dataset Ownership Verification for Pre-trained Masked Models
Yuechen Xie, Jie Song, Yicheng Shan et al.
Endowing Visual Reprogramming with Adversarial Robustness
Shengjie Zhou, Xin Cheng, Haiyang Xu et al.
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
Yihao LIU, Xinqi Lyu, Dong Wang et al.
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
Mengxuan Hu, Zihan Guan, Yi Zeng et al.
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney et al.
Progressive Parameter Efficient Transfer Learning for Semantic Segmentation
Nan Zhou, Huiqun Wang, Yaoyan Zheng et al.
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim, Ze Wang, Qiang Qiu
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks
Hanjing Wang, Qiang Ji
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan, Tong Wei
Event-Adapted Video Super-Resolution
Zeyu Xiao, Dachun Kai, Yueyi Zhang et al.
LEAD: Exploring Logit Space Evolution for Model Selection
Zixuan Hu, Xiaotong Li, SHIXIANG TANG et al.
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh, Qingyun Liu, Huan Gui et al.
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi, Olivier Laurent, Maxence Leguéry et al.
Model Stock: All we need is just a few fine-tuned models
Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie Su et al.
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
Fang Kaipeng, Jingkuan Song, Lianli Gao et al.
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
Qi Qian, Yuanhong Xu, JUHUA HU
Text-Conditioned Resampler For Long Form Video Understanding
Bruno Korbar, Yongqin Xian, Alessio Tonioni et al.
Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis
Tianci Bi, Xiaoyi Zhang, Zhizheng Zhang et al.