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Sparse Learning
135 directly classified papers
Papers per year
2006: 1
2007: 5
2008: 4
2009: 11
2010: 7
2011: 4
2012: 3
2013: 9
2014: 6
2015: 12
2016: 11
2017: 3
2018: 6
2019: 14
2020: 11
2021: 6
2022: 8
2023: 4
2024: 9
2025: 1
Papers
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
ACL 2025
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
NIPS 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective
NIPS 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression
NIPS 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models
EMNLP 2024
Improving Decision Sparsity
NIPS 2024
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
ACL 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
NIPS 2024
Symmetry-Informed Governing Equation Discovery
NIPS 2024
UltraSparseBERT: 99% Conditionally Sparse Language Modelling
ACL 2024
Sparse Parameterization for Epitomic Dataset Distillation
NIPS 2023
Sparse Low-rank Adaptation of Pre-trained Language Models
EMNLP 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
JMLR 2023
Feature Adaptation for Sparse Linear Regression
NIPS 2023
Acceleration in Distributed Sparse Regression
NIPS 2022
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
NIPS 2022
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning
CVPR 2022
Get More at Once: Alternating Sparse Training with Gradient Correction
NIPS 2022
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
AAAI 2022
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
AAAI 2022
Learning the Structure of Large Networked Systems Obeying Conservation Laws
NIPS 2022
Sparse Winning Tickets are Data-Efficient Image Recognizers
NIPS 2022
Information Directed Sampling for Sparse Linear Bandits
NIPS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
NIPS 2021
The Lottery Ticket Hypothesis for Object Recognition
CVPR 2021
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