Poster "pre-trained models" Papers
9 papers found
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun et al.
ICLR 2025posterarXiv:2503.04655
1
citations
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang et al.
NeurIPS 2025posterarXiv:2412.14326
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
Mengxuan Hu, Zihan Guan, Yi Zeng et al.
ICLR 2025poster
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.
NeurIPS 2025posterarXiv:2510.05782
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan, Tong Wei
ICML 2024poster
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh, Qingyun Liu, Huan Gui et al.
ICML 2024poster
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie Su et al.
ICML 2024poster
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
Qi Qian, Yuanhong Xu, JUHUA HU
ECCV 2024posterarXiv:2408.13351
Text-Conditioned Resampler For Long Form Video Understanding
Bruno Korbar, Yongqin Xian, Alessio Tonioni et al.
ECCV 2024posterarXiv:2312.11897
24
citations