Blending LSTMs into CNNs

19 November 2015

Papers citing "Blending LSTMs into CNNs"

10 / 10 papers shown

Title
Inter-KD: Intermediate Knowledge Distillation for CTC-Based Automatic Speech Recognition J. Yoon Beom Jun Woo Sunghwan Ahn Hyeon Seung Lee N. Kim VLM 31 9 0 28 Nov 2022
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models J. Yoon H. Kim Hyeon Seung Lee Sunghwan Ahn N. Kim 43 1 0 05 Nov 2021
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP Lifu Tu BDL 35 0 0 27 Aug 2021
Tracking-by-Trackers with a Distilled and Reinforced Model Matteo Dunnhofer N. Martinel C. Micheloni VOT OffRL 27 4 0 08 Jul 2020
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation A. Peimankar S. Puthusserypady 38 119 0 18 May 2020
FEED: Feature-level Ensemble for Knowledge Distillation Seonguk Park Nojun Kwak FedML 31 41 0 24 Sep 2019
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 50 45 0 17 Feb 2018
Sequence-Level Knowledge Distillation Yoon Kim Alexander M. Rush 47 1,101 0 25 Jun 2016
Active Long Term Memory Networks Tommaso Furlanello Jiaping Zhao Andrew M. Saxe Laurent Itti B. Tjan KELM CLL 32 41 0 07 Jun 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? G. Urban Krzysztof J. Geras Samira Ebrahimi Kahou Ozlem Aslan Shengjie Wang R. Caruana Abdel-rahman Mohamed Matthai Philipose Matthew Richardson 22 47 0 17 Mar 2016