Improving Neural Topic Models with Wasserstein Knowledge Distillation

27 March 2023

Papers citing "Improving Neural Topic Models with Wasserstein Knowledge Distillation"

15 / 15 papers shown

Title
GINopic: Topic Modeling with Graph Isomorphism Network Suman Adhya Debarshi Kumar Sanyal 223 4 0 02 Apr 2024
What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha Suman Adhya Debarshi Kumar Sanyal 74 4 0 01 Apr 2023
Which Student is Best? A Comprehensive Knowledge Distillation Exam for Task-Specific BERT Models Made Nindyatama Nityasya Haryo Akbarianto Wibowo Rendi Chevi Radityo Eko Prasojo Alham Fikri Aji 57 6 0 03 Jan 2022
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 62 2,932 0 09 Jun 2020
Cross-lingual Contextualized Topic Models with Zero-shot Learning Federico Bianchi Silvia Terragni Dirk Hovy Debora Nozza Elisabetta Fersini BDL 149 149 0 16 Apr 2020
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence Federico Bianchi Silvia Terragni Dirk Hovy AI4TS 73 295 0 08 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 351 10,591 0 17 Feb 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.2K 12,129 0 27 Aug 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 169 640 0 08 Jul 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 60 857 0 17 May 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 138 117 0 28 Mar 2019
Born Again Neural Networks Tommaso Furlanello Zachary Chase Lipton Michael Tschannen Laurent Itti Anima Anandkumar 68 1,030 0 12 May 2018
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 139 565 0 04 Mar 2017
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 55 601 0 17 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 322 19,609 0 09 Mar 2015