Sparse Learning
36 papers
Papers per year
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4
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Papers
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
ACL 2026
Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling
CVPR 2026
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
CVPR 2026
IAFMNet: Information-Aware Feature Modulation for Efficient Super-Resolution
CVPR 2026
Improving Sparse Autoencoder with Dynamic Attention
CVPR 2026
OneSparse: A Unified Framework for Sparse Activation Layers in Vision Models
CVPR 2026
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalization
UAI 2026
Test-time Sparsity for Extreme Fast Action Diffusion
CVPR 2026
UltraSparseBERT: 99% Conditionally Sparse Language Modelling
ACL 2024
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
NeurIPS 2023
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
ICLR 2023
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable
ICLR 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
ICLR 2022
Dual Lottery Ticket Hypothesis
ICLR 2022
Dynamic Forward and Backward Sparse Training
(DFBST): Accelerated Deep Learning through
Completely Sparse Training Schedule
ACML 2022
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
NeurIPS 2022
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
ICLR 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
ICLR 2022
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
NeurIPS 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NeurIPS 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
NeurIPS 2021
Winning the Lottery with Continuous Sparsification
NeurIPS 2020
Evaluating Lottery Tickets Under Distributional Shifts
EMNLP 2019
From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection
CVPR 2016
Approximating Sparse PCA from Incomplete Data
NeurIPS 2015