Summary of Mart: Multiscale Relational Transformer Networks For Multi-agent Trajectory Prediction, by Seongju Lee et al.
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Predictionby Seongju Lee, Junseok Lee, Yeonguk Yu,…
Summary of Spatial Transformer Network Yolo Model For Agricultural Object Detection, by Yash Zambre et al.
Spatial Transformer Network YOLO Model for Agricultural Object Detectionby Yash Zambre, Ekdev Rajkitkul, Akshatha Mohan,…
Summary of Comgra: a Tool For Analyzing and Debugging Neural Networks, by Florian Dietz et al.
Comgra: A Tool for Analyzing and Debugging Neural Networksby Florian Dietz, Sophie Fellenz, Dietrich Klakow,…
Summary of Synth-empathy: Towards High-quality Synthetic Empathy Data, by Hao Liang et al.
Synth-Empathy: Towards High-Quality Synthetic Empathy Databy Hao Liang, Linzhuang Sun, Jingxuan Wei, Xijie Huang, Linkun…
Summary of An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought Stress Identification, by Aswini Kumar Patra et al.
An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought…
Summary of Dynamic Universal Approximation Theory: Foundations For Parallelism in Neural Networks, by Wei Wang et al.
Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networksby Wei Wang, Qing LiFirst submitted…
Summary of Social Learning Through Interactions with Other Agents: a Survey, by Dylan Hillier et al.
Social Learning through Interactions with Other Agents: A Surveyby Dylan Hillier, Cheston Tan, Jing JiangFirst…
Summary of A Federated Learning-friendly Approach For Parameter-efficient Fine-tuning Of Sam in 3d Segmentation, by Mothilal Asokan et al.
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentationby Mothilal Asokan, Joseph…
Summary of Hgoe: Hybrid External and Internal Graph Outlier Exposure For Graph Out-of-distribution Detection, by Junwei He et al.
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detectionby Junwei He, Qianqian…
Summary of Moma: Efficient Early-fusion Pre-training with Mixture Of Modality-aware Experts, by Xi Victoria Lin and Akshat Shrivastava and Liang Luo and Srinivasan Iyer and Mike Lewis and Gargi Ghosh and Luke Zettlemoyer and Armen Aghajanyan
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Expertsby Xi Victoria Lin, Akshat Shrivastava, Liang…