Summary of Rosa: Random Subspace Adaptation For Efficient Fine-tuning, by Marawan Gamal Abdel Hameed et al.
ROSA: Random Subspace Adaptation for Efficient Fine-Tuningby Marawan Gamal Abdel Hameed, Aristides Milios, Siva Reddy,…
Summary of A Survey on Mixture Of Experts, by Weilin Cai et al.
A Survey on Mixture of Expertsby Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun…
Summary of Bias Correction in Machine Learning-based Classification Of Rare Events, by Luuk Gubbels et al.
Bias Correction in Machine Learning-based Classification of Rare Eventsby Luuk Gubbels, Marco Puts, Piet DaasFirst…
Summary of On the Power Of Convolution Augmented Transformer, by Mingchen Li et al.
On the Power of Convolution Augmented Transformerby Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet OymakFirst…
Summary of Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis, by Stefan Horoi et al.
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysisby Stefan Horoi, Albert Manuel Orozco…
Summary of A Theory Of Machine Learning, by Jinsook Kim and Jinho Kang
A Theory of Machine Learningby Jinsook Kim, Jinho KangFirst submitted to arxiv on: 7 Jul…
Summary of The Solution For Language-enhanced Image New Category Discovery, by Haonan Xu et al.
The Solution for Language-Enhanced Image New Category Discoveryby Haonan Xu, Dian Chao, Xiangyu Wu, Zhonghua…
Summary of Unified Interpretation Of Smoothing Methods For Negative Sampling Loss Functions in Knowledge Graph Embedding, by Xincan Feng et al.
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embeddingby Xincan…
Summary of Learning Interpretable Differentiable Logic Networks, by Chang Yue and Niraj K. Jha
Learning Interpretable Differentiable Logic Networksby Chang Yue, Niraj K. JhaFirst submitted to arxiv on: 4…
Summary of Badm: Batch Admm For Deep Learning, by Ouya Wang et al.
BADM: Batch ADMM for Deep Learningby Ouya Wang, Shenglong Zhou, Geoffrey Ye LiFirst submitted to…