Summary of Cbnn: 3-party Secure Framework For Customized Binary Neural Networks Inference, by Benchang Dong et al.
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inferenceby Benchang Dong, Zhili Chen, Xin…
Summary of Spatial-temporal Knowledge Distillation For Takeaway Recommendation, by Shuyuan Zhao et al.
Spatial-Temporal Knowledge Distillation for Takeaway Recommendationby Shuyuan Zhao, Wei Chen, Boyan Shi, Liyong Zhou, Shuohao…
Summary of Efficient Fine-tuning and Concept Suppression For Pruned Diffusion Models, by Reza Shirkavand et al.
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Modelsby Reza Shirkavand, Peiran Yu, Shangqian Gao,…
Summary of Knowledge Distillation in Rnn-attention Models For Early Prediction Of Student Performance, by Sukrit Leelaluk et al.
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performanceby Sukrit Leelaluk, Cheng Tang,…
Summary of On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process, by Gereziher Adhane and Mohammad Mahdi Dehshibi and Dennis Vetter and David Masip and Gemma Roig
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Processby Gereziher Adhane, Mohammad Mahdi…
Summary of Modality-inconsistent Continual Learning Of Multimodal Large Language Models, by Weiguo Pian et al.
Modality-Inconsistent Continual Learning of Multimodal Large Language Modelsby Weiguo Pian, Shijian Deng, Shentong Mo, Yunhui…
Summary of Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation, by Jiaqi Wang et al.
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillationby Jiaqi Wang,…
Summary of On Distilling the Displacement Knowledge For Few-shot Class-incremental Learning, by Pengfei Fang et al.
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learningby Pengfei Fang, Yongchun Qin, Hui XueFirst…
Summary of A Theoretical Analysis Of Soft-label Vs Hard-label Training in Neural Networks, by Saptarshi Mandal et al.
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networksby Saptarshi Mandal, Xiaojun Lin,…
Summary of Optimising Tinyml with Quantization and Distillation Of Transformer and Mamba Models For Indoor Localisation on Edge Devices, by Thanaphon Suwannaphong et al.
Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on…