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09/03/2023
FedFwd: Federated Learning without Backpropagation
In federated learning (FL), clients with limited resources can disrupt t...
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04/27/2023
JaxPruner: A concise library for sparsity research
This paper introduces JaxPruner, an open-source JAX-based pruning and sp...
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02/28/2023
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Concept bottleneck models (CBMs) are a class of interpretable neural net...
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02/21/2023
MaskedKD: Efficient Distillation of Vision Transformers with Masked Images
Knowledge distillation is a popular and effective regularization techniq...
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02/12/2023
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
Learning dynamical systems is a promising avenue for scientific discover...
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10/27/2021
Meta-Learning Sparse Implicit Neural Representations
Implicit neural representations are a promising new avenue of representi...
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03/25/2020
Data Parallelism in Training Sparse Neural Networks
Network pruning is an effective methodology to compress large neural net...
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06/14/2019
A Signal Propagation Perspective for Pruning Neural Networks at Initialization
Network pruning is a promising avenue for compressing deep neural networ...
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10/04/2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Pruning large neural networks while maintaining the performance is often...
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04/06/2018
Learn To Pay Attention
We propose an end-to-end-trainable attention module for convolutional ne...
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12/15/2016
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
We introduce the concept of a Visual Compiler that generates a scene spe...
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04/05/2016
