Summary of Learning Linear Attention in Polynomial Time, by Morris Yau et al.
Learning Linear Attention in Polynomial Timeby Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum,…
Learning Linear Attention in Polynomial Timeby Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum,…
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methodsby Hossein Taheri, Christos Thrampoulidis, Arya…
Towards Bridging Generalization and Expressivity of Graph Neural Networksby Shouheng Li, Floris Geerts, Dongwoo Kim,…
Symmetry Discovery for Different Data Typesby Lexiang Hu, Yikang Li, Zhouchen LinFirst submitted to arxiv…
Debiasing Vison-Language Models with Text-Only Trainingby Yunfan Yang, Chaoquan Jiang, Zhiyu Lin, Jinlin Xiao, Jiaming…
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learningby Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao…
nextlocllm: next location prediction using LLMsby Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao…
ALVIN: Active Learning Via INterpolationby Michalis Korakakis, Andreas Vlachos, Adrian WellerFirst submitted to arxiv on:…
Hierarchical Universal Value Function Approximatorsby Rushiv AroraFirst submitted to arxiv on: 11 Oct 2024CategoriesMain: Machine…
Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectraby Roman Worschech, Bernd RosenowFirst…