Yen, Ian E. H.

1. Representer Point Selection for Explaining Deep Neural Networks
   2018/11/23 by Yeh, Chih-Kuan, Kim, Joon Sik, Yen, Ian E. H. +1 · 28 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Minimizing FLOPs to Learn Efficient Sparse Representations
   2020/04/12 by Paria, Biswajit, Yeh, Chih-Kuan, Yen, Ian E. H. +3 · 9 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm
   2021/04/18 by Dongkuan Xu, Xu, Dongkuan, Ian En-Hsu Yen +5 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
4. Word Mover's Embedding: From Word2Vec to Document Embedding
   2018/10/30 by Lingfei Wu, Wu, Lingfei, Ian En-Hsu Yen +13 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
5. Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
   2021/10/15 by Shaoyi Huang, Dongkuan Xu, Huang, Shaoyi +17 · 3 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
6. Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability
   2018/09/14 by Lingfei Wu, Ian En-Hsu Yen, Wu, Lingfei +5 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques