Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks

27 May 2019

Papers citing "Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks"

11 / 11 papers shown

Title
Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network Suman Sapkota 21 0 0 21 Oct 2024
Importance Estimation with Random Gradient for Neural Network Pruning Suman Sapkota Binod Bhattarai 38 1 0 31 Oct 2023
Heterogeneous Continual Learning Divyam Madaan Hongxu Yin Wonmin Byeon Jan Kautz Pavlo Molchanov CLL 29 5 0 14 Jun 2023
Structural Pruning via Latency-Saliency Knapsack Maying Shen Hongxu Yin Pavlo Molchanov Lei Mao Jianna Liu J. Álvarez 37 47 0 13 Oct 2022
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics Suman Sapkota Binod Bhattarai 11 3 0 10 Jul 2022
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting Minghai Qin Tianyun Zhang Fei Sun Yen-kuang Chen M. Fardad Yanzhi Wang Yuan Xie 31 0 0 21 Dec 2021
Incremental Deep Neural Network Learning using Classification Confidence Thresholding Justin Leo Jugal Kalita CLL 14 15 0 21 Jun 2021
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks Alastair Finlinson S. Moschoyiannis 9 1 0 23 Nov 2020
Efficient Synthesis of Compact Deep Neural Networks Wenhan Xia Hongxu Yin N. Jha 21 3 0 18 Apr 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation Umberto Michieli Pietro Zanuttigh CLL VLM 21 98 0 08 Nov 2019
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks Hongxu Yin Bilal Mukadam Xiaoliang Dai N. Jha 23 47 0 11 Oct 2019