Summary of Linear Attention Is Enough in Spatial-temporal Forecasting, by Xinyu Ning
Linear Attention is Enough in Spatial-Temporal Forecastingby Xinyu NingFirst submitted to arxiv on: 17 Aug…
Linear Attention is Enough in Spatial-Temporal Forecastingby Xinyu NingFirst submitted to arxiv on: 17 Aug…
Zero-Shot Object-Centric Representation Learningby Aniket Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Mike Mozer, Yoshua Bengio, Georg…
SA-GDA: Spectral Augmentation for Graph Domain Adaptationby Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao,…
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Riskby Mohamad Fares El Hajj Chehade,…
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Seriesby Qiang Huang, Chuizheng…
Optimal Symmetries in Binary Classificationby Vishal S. Ngairangbam, Michael SpannowskyFirst submitted to arxiv on: 16…
LEVIS: Large Exact Verifiable Input Spaces for Neural Networksby Mohamad Fares El Hajj Chehade, Brian…
Shapley Marginal Surplus for Strong Modelsby Daniel de Marchi, Michael Kosorok, Scott de MarchiFirst submitted…
Entropy Coding of Unordered Data Structuresby Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de…
GeoTransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attentionby Yuhao Jia, Zile Wu, Shengao…