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Nov 14, 2023
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Nov 14, 2023
Collection by Nov 14, 2023
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Jul 22, 2024
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DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
Paper • 2303.07864 • Published • 1 -
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Paper • 2305.13547 • Published • 1 -
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Paper • 2304.09402 • Published • 2 -
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning
Paper • 2305.18169 • Published • 3
Collection by 
May 11
Collection by Nov 14, 2023
Collection by Jan 25
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Fine-Tuning Language Models with Just Forward Passes
Paper • 2305.17333 • Published • 4 -
HyperTuning: Toward Adapting Large Language Models without Back-propagation
Paper • 2211.12485 • Published • 1 -
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Paper • 2209.14624 • Published • 1 -
Backpropagation-free Training of Deep Physical Neural Networks
Paper • 2304.11042 • Published • 1
Collection by Apr 7
Collection by 
Aug 25, 2024
Collection by Nov 14, 2023
Collection by May 11
Collection by Nov 14, 2023
Collection by Nov 14, 2023
Collection by Nov 14, 2023
Collection by Jan 25
-
Fine-Tuning Language Models with Just Forward Passes
Paper • 2305.17333 • Published • 4 -
HyperTuning: Toward Adapting Large Language Models without Back-propagation
Paper • 2211.12485 • Published • 1 -
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Paper • 2209.14624 • Published • 1 -
Backpropagation-free Training of Deep Physical Neural Networks
Paper • 2304.11042 • Published • 1
Collection by Mar 2
Collection by Apr 7
Collection by Jul 22, 2024
-
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
Paper • 2303.07864 • Published • 1 -
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Paper • 2305.13547 • Published • 1 -
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Paper • 2304.09402 • Published • 2 -
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning
Paper • 2305.18169 • Published • 3
Collection by Aug 25, 2024