← Learning Types
Deep Learning › Learning Types ›

Sparse Learning

12 directly classified papers

Papers per year

Papers

UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks NIPS 2022
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NIPS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021
Winning the Lottery with Continuous Sparsification NIPS 2020
Evaluating Lottery Tickets Under Distributional Shifts EMNLP 2019
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection CVPR 2016
Structural Sparse Tracking CVPR 2015
Approximating Sparse PCA from Incomplete Data NIPS 2015
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NIPS 2009
Large-Scale Sparsified Manifold Regularization NIPS 2006