2024 "pre-trained models" Papers
9 papers found
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind
Yuanyuan Mao, Xin Lin, Qin Ni et al.
AAAI 2024paperarXiv:2402.07402
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim, Ze Wang, Qiang Qiu
ECCV 2024posterarXiv:2407.08947
6
citations
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan, Tong Wei
ICML 2024posterarXiv:2405.11756
Event-Adapted Video Super-Resolution
Zeyu Xiao, Dachun Kai, Yueyi Zhang et al.
ECCV 2024poster
14
citations
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh, Qingyun Liu, Huan Gui et al.
ICML 2024posterarXiv:2402.04644
Model Stock: All we need is just a few fine-tuned models
Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han
ECCV 2024posterarXiv:2403.19522
73
citations
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie Su et al.
ICML 2024posterarXiv:2405.08920
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