Differentiable Neural Input Search for Recommender Systems

8 June 2020

Papers citing "Differentiable Neural Input Search for Recommender Systems"

11 / 11 papers shown

Title
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems Qinyi Luo Penghan Wang Wei Zhang Fan Lai Jiachen Mao ... Jun Song Wei-Yu Tsai Shuai Yang Yuxi Hu Xuehai Qian 45 0 0 09 Jan 2024
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers L. Guan Xia Xiao Ming-yue Chen Youlong Cheng 19 1 0 07 Dec 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 20 6 0 04 Aug 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 25 60 0 12 Jun 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 108 0 21 Apr 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 50 222 0 27 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 59 82 0 19 Jan 2021
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,419 0 02 Aug 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 107 716 0 13 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,326 0 05 Nov 2016