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Workshop
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PEST: Combining Parameter-Efficient Fine-Tuning with Self-Training and Co-Training
Hunter Lang · Monica Agrawal · Yoon Kim · David Sontag
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Poster
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Thu 9:00
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The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li · Minjia Zhang · Yuxiong He
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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Poster
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Tue 14:00
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Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu · Derek Tam · Mohammed Muqeeth · Jay Mohta · Tenghao Huang · Mohit Bansal · Colin Raffel
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Poster
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Thu 9:00
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Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar · Dan Alistarh
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Workshop
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Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng
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Poster
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Tue 9:00
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VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong · Yibing Song · Jue Wang · Limin Wang
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Workshop
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IMPON: Efficient IMPortance sampling with ONline regression for rapid neural network training
Vignesh Ganapathiraman · Francisco Calderon · Anila Joshi
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Poster
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Tue 9:00
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Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu · Jialin Mao · Shiyun Xu
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Workshop
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Fri 6:30
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Has it Trained Yet? A Workshop for Algorithmic Efficiency in Practical Neural Network Training
Frank Schneider · Zachary Nado · Philipp Hennig · George Dahl · Naman Agarwal
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Poster
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Thu 14:00
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Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli · Samyak Jain · Venkatesh Babu R
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Poster
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Tue 9:00
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XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient
Xiaoxia Wu · Zhewei Yao · Minjia Zhang · Conglong Li · Yuxiong He
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