Summary of Training Dynamics Of Transformers to Recognize Word Co-occurrence Via Gradient Flow Analysis, by Hongru Yang et al.
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysisby Hongru Yang, Bhavya…
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysisby Hongru Yang, Bhavya…
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compressionby Mohammad Mozaffari, Amir…
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Modelsby Jiaxin Zhang,…
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Healthby Abdullah Mamun,…
Provable Acceleration of Nesterov’s Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networksby Zhenghao…
ReLU’s Revival: On the Entropic Overload in Normalization-Free Large Language Modelsby Nandan Kumar Jha, Brandon…
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventionsby Abdullah Mamun,…
Learning the Bitter Lesson: Empirical Evidence from 20 Years of CVPR Proceedingsby Mojtaba Yousefi, Jack…
Interpolated-MLPs: Controllable Inductive Biasby Sean Wu, Jordan Hong, Keyu Bai, Gregor BachmannFirst submitted to arxiv…
Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysisby Yunwei Ren, Jason D. LeeFirst submitted…