Improving Neural Topic Models using Knowledge Distillation

5 October 2020

Papers citing "Improving Neural Topic Models using Knowledge Distillation"

11 / 11 papers shown

Title
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition Yuzhao Mao Di Lu Xiaojie Wang Yang Zhang 27 1 0 23 Jul 2023
Graph Contrastive Topic Model Zheheng Luo Lei Liu Qianqian Xie Sophia Ananiadou 21 2 0 05 Jul 2023
Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences Johannes Schneider 47 3 0 06 Feb 2023
Multilingual and Multimodal Topic Modelling with Pretrained Embeddings Elaine Zosa Lidia Pivovarova BDL 13 8 0 15 Nov 2022
Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang Yishi Xu Miaoge Li Zhibin Duan Chaojie Wang Bo Chen Mingyuan Zhou BDL 38 15 0 20 Sep 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations Yu Meng Yunyi Zhang Jiaxin Huang Yu Zhang Jiawei Han 56 56 0 09 Feb 2022
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amílcar Soares Franccois Théberge 27 3 0 13 Dec 2021
Contrastive Learning for Neural Topic Model Thong Nguyen A. Luu 26 56 0 25 Oct 2021
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence Alexander Miserlis Hoyle Pranav Goel Denis Peskov Andrew Hian-Cheong Jordan L. Boyd-Graber Philip Resnik 41 127 0 05 Jul 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 15 24 0 02 Dec 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016