Adaptive Sampled Softmax with Kernel Based Sampling

2 December 2017

Papers citing "Adaptive Sampled Softmax with Kernel Based Sampling"

12 / 12 papers shown

Title
Hierarchical Attention Encoder Decoder Asier Mujika BDL 30 3 0 01 Jun 2023
Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi D. Rohde Alexandre Gilotte OffRL 45 3 0 08 Aug 2022
Generating Negative Samples for Sequential Recommendation Yong-Guang Chen Jia Li Zhiwei Liu N. Keskar Haiquan Wang Julian McAuley Caiming Xiong 35 4 0 07 Aug 2022
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization T. Nguyen Richard G. Baraniuk Robert M. Kirby Stanley J. Osher Bao Wang 42 9 0 01 Aug 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 30 11 0 28 Jun 2022
Choose a Transformer: Fourier or Galerkin Shuhao Cao 42 227 0 31 May 2021
Scalable Personalised Item Ranking through Parametric Density Estimation Riku Togashi Masahiro Kato Mayu Otani T. Sakai Shiníchi Satoh 38 0 0 11 May 2021
Extreme Classification via Adversarial Softmax Approximation Robert Bamler Stephan Mandt 30 23 0 15 Feb 2020
Pre-training Tasks for Embedding-based Large-scale Retrieval Wei-Cheng Chang Felix X. Yu Yin-Wen Chang Yiming Yang Sanjiv Kumar RALM 13 301 0 10 Feb 2020
Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba Qianghuai Jia Ningyu Zhang Nengwei Hua 19 5 0 06 Sep 2019
Sampled Softmax with Random Fourier Features A. S. Rawat Jiecao Chen Felix X. Yu A. Suresh Sanjiv Kumar 39 55 0 24 Jul 2019
A Simple Convolutional Generative Network for Next Item Recommendation Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis J. Jose Xiangnan He 31 547 0 15 Aug 2018