Workshop

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng

Poster

Thu 14:00

Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Armin Thomas · Christopher Ré · Russell Poldrack

Workshop

NLP Inspired Training Mechanics For Modeling Transient Dynamics
Lalit Ghule · Rishikesh Ranade · Jay Pathak

Poster

Thu 14:00

Supervised Training of Conditional Monge Maps
Charlotte Bunne · Andreas Krause · Marco Cuturi

Poster

Thu 9:00

Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala · Aram Markosyan · Luke Zettlemoyer · Armen Aghajanyan

Workshop

Gaussian Process Thompson sampling for Bayesian optimization of dynamic masking-based language model pre-training
Iñigo Urteaga · Moulay Zaidane Draidia · Tomer Lancewicki · Shahram Khadivi

Poster

Wed 14:00

Where to Pay Attention in Sparse Training for Feature Selection?
Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu

Workshop

Fri 12:35

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng

Poster

Wed 9:00

Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Mingze Wang · Chao Ma

Workshop

DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low Rank Adaptation
Mojtaba Valipour · Mehdi Rezaghoizadeh · Ivan Kobyzev · Ali Ghodsi

Poster

Wed 14:00

Deep Active Learning by Leveraging Training Dynamics
Haonan Wang · Wei Huang · Ziwei Wu · Hanghang Tong · Andrew J Margenot · Jingrui He

Poster

Thu 9:00

Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel