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Workshop
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Adapting Foundation Models via Training-free Dynamic Weight Interpolation
Changdae Oh · Sharon Li · Kyungwoo Song · Sangdoo Yun · Dongyoon Han
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Workshop
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Understanding Factual Recall in Transformers via Associative Memories
Eshaan Nichani · Jason Lee · Alberto Bietti
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Workshop
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Sat 15:15
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Understanding Factual Recall in Transformers via Associative Memories
Eshaan Nichani · Jason Lee · Alberto Bietti
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Affinity Event
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A Closer Look at Sparse Training in Deep Reinforcement Learning
Muhammad Athar Ganaie · Vincent Michalski · Samira Ebrahimi Kahou · Yani Ioannou
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Poster
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Wed 11:00
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Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
Hongru Yang · Bhavya Kailkhura · Zhangyang "Atlas" Wang · Yingbin Liang
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Workshop
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Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Training
Hanna Mazzawi · Pranjal Awasthi · Javier Gonzalvo · Srikumar Ramalingam
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Workshop
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Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
Steffen Schotthöfer · M. Laiu
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Poster
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Thu 16:30
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PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
Omead Pooladzandi · Sunay Bhat · Jeffrey Jiang · Alexander Branch · Gregory Pottie
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Workshop
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Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
Dayal Singh Kalra · Tianyu He · Maissam Barkeshli
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Workshop
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Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models
Felix Stahlberg · Jared Lichtarge · Shankar Kumar
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Poster
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Wed 16:30
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CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
Wanru Zhao · Hongxiang Fan · Shell Xu Hu · Wangchunshu Zhou · Nicholas Lane
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Poster
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Thu 11:00
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Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
Jiarui Jiang · Wei Huang · Miao Zhang · Taiji Suzuki · Liqiang Nie
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