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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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Thu 14:00
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Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Armin Thomas · Christopher Ré · Russell Poldrack
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Workshop
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NLP Inspired Training Mechanics For Modeling Transient Dynamics
Lalit Ghule · Rishikesh Ranade · Jay Pathak
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Poster
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Thu 14:00
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Supervised Training of Conditional Monge Maps
Charlotte Bunne · Andreas Krause · Marco Cuturi
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Poster
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Thu 9:00
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Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala · Aram Markosyan · Luke Zettlemoyer · Armen Aghajanyan
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Workshop
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Gaussian Process Thompson sampling for Bayesian optimization of dynamic masking-based language model pre-training
Iñigo Urteaga · Moulay Zaidane Draidia · Tomer Lancewicki · Shahram Khadivi
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Poster
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Wed 14:00
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Where to Pay Attention in Sparse Training for Feature Selection?
Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu
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Workshop
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Fri 12:35
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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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Wed 9:00
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Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Mingze Wang · Chao Ma
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Workshop
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DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low Rank Adaptation
Mojtaba Valipour · Mehdi Rezaghoizadeh · Ivan Kobyzev · Ali Ghodsi
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Poster
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Wed 14:00
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Deep Active Learning by Leveraging Training Dynamics
Haonan Wang · Wei Huang · Ziwei Wu · Hanghang Tong · Andrew J Margenot · Jingrui He
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Poster
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Thu 9:00
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Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
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