Summary of Poodle: Pooled and Dense Self-supervised Learning From Naturalistic Videos, by Alex N. Wang et al.
PooDLe: Pooled and dense self-supervised learning from naturalistic videosby Alex N. Wang, Christopher Hoang, Yuwen…
PooDLe: Pooled and dense self-supervised learning from naturalistic videosby Alex N. Wang, Christopher Hoang, Yuwen…
Revisiting Min-Max Optimization Problem in Adversarial Trainingby Sina Hajer Ahmadi, Hassan BahramiFirst submitted to arxiv…
Asymmetric Graph Error Control with Low Complexity in Causal Banditsby Chen Peng, Di Zhang, Urbashi…
Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height and Cover from…
A Little Confidence Goes a Long Wayby John Scoville, Shang Gao, Devanshu Agrawal, Javed Qadrud-DinFirst…
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classificationby Christos Constantinou, Georgios Ioannides, Aman…
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?by Qian Ma, Haitao Mao, Jingzhe Liu,…
Correlation Analysis of Adversarial Attack in Time Series Classificationby Zhengyang Li, Wenhao Liang, Chang Dong,…
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primerby Georgios Is. DetorakisFirst submitted…
Inverting the Leverage Score Gradient: An Efficient Approximate Newton Methodby Chenyang Li, Zhao Song, Zhaoxing…