Peilin Zhong

4 papers Columbia University

• Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity
• Nested Learning: The Illusion of Deep Learning Architectures
• PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
• Titans: Learning to Memorize at Test Time