Summary of Contrastive Region Guidance: Improving Grounding in Vision-language Models Without Training, by David Wan et al.
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Trainingby David Wan, Jaemin Cho, Elias…
Summary of Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification, by Puru Vaish et al.
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classificationby Puru Vaish, Shunxin…
Summary of Tpllm: a Traffic Prediction Framework Based on Pretrained Large Language Models, by Yilong Ren et al.
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Modelsby Yilong Ren, Yue Chen,…
Summary of Neural Redshift: Random Networks Are Not Random Functions, by Damien Teney et al.
Neural Redshift: Random Networks are not Random Functionsby Damien Teney, Armand Nicolicioiu, Valentin Hartmann, Ehsan…
Summary of Improving Out-of-distribution Generalization in Graphs Via Hierarchical Semantic Environments, by Yinhua Piao et al.
Improving out-of-distribution generalization in graphs via hierarchical semantic environmentsby Yinhua Piao, Sangseon Lee, Yijingxiu Lu,…
Summary of Out-of-distribution Robustness For Multivariate Analysis Via Causal Regularisation, by Homer Durand et al.
Out-of-distribution robustness for multivariate analysis via causal regularisationby Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau…
Summary of A Survey on Evaluation Of Out-of-distribution Generalization, by Han Yu et al.
A Survey on Evaluation of Out-of-Distribution Generalizationby Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu,…
Summary of Opengraph: Towards Open Graph Foundation Models, by Lianghao Xia et al.
OpenGraph: Towards Open Graph Foundation Modelsby Lianghao Xia, Ben Kao, Chao HuangFirst submitted to arxiv…
Summary of Pairwise Alignment Improves Graph Domain Adaptation, by Shikun Liu et al.
Pairwise Alignment Improves Graph Domain Adaptationby Shikun Liu, Deyu Zou, Han Zhao, Pan LiFirst submitted…
Summary of Margin Discrepancy-based Adversarial Training For Multi-domain Text Classification, by Yuan Wu
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classificationby Yuan WuFirst submitted to arxiv on: 1…