"knowledge transfer" Papers
77 papers found • Page 2 of 2
Conference
Encapsulating Knowledge in One Prompt
Qi Li, Runpeng Yu, Xinchao Wang
Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models
Zixin Zhang, Fan Qi, Changsheng Xu
Federated Continual Learning via Prompt-based Dual Knowledge Transfer
Hongming Piao, Yichen WU, Dapeng Wu et al.
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
Zhonghang Li, Lianghao Xia, Yong Xu et al.
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
Yixiong Zou, Yicong Liu, Yiman Hu et al.
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection
Dongmei Zhang, Chang Li, Renrui Zhang et al.
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Shankhanil Mitra, Rajiv Soundararajan
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri et al.
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation
Tao Chen, Xiruo Jiang, Gensheng Pei et al.
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
Mengyao Lyu, Tianxiang Hao, Xinhao Xu et al.
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
Yuke Li, Guangyi Chen, Ben Abramowitz et al.
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
Xidong Peng, Runnan Chen, Feng Qiao et al.
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li, Xin Yang, Hao Wang et al.
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor
Han Liu, Siyang Zhao, Xiaotong Zhang et al.
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Yanzuo Lu, Meng Shen, Andy J Ma et al.
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri et al.
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao, Xilu Wang, Yaochu Jin et al.
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
Hossein Zakerinia, Amin Behjati, Christoph Lampert
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.
Self-Composing Policies for Scalable Continual Reinforcement Learning
Mikel Malagón, Josu Ceberio, Jose A Lozano
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
Shuai Zhang, Heshan Fernando, Miao Liu et al.
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
Zixuan Hu, Yongxian Wei, Li Shen et al.
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
Liangcai Su, Junwei Pan, Ximei Wang et al.
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
Jun-Peng Jiang, Han-Jia Ye, Leye Wang et al.
Transferring Knowledge From Large Foundation Models to Small Downstream Models
Shikai Qiu, Boran Han, Danielle Robinson et al.
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang et al.
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
Weibo Gao, Qi Liu, Hao Wang et al.