Summary of Link Representation Learning For Probabilistic Travel Time Estimation, by Chen Xu et al.
Link Representation Learning for Probabilistic Travel Time Estimationby Chen Xu, Qiang Wang, Lijun SunFirst submitted…
Summary of Fostering Trust and Quantifying Value Of Ai and Ml, by Dalmo Cirne and Veena Calambur
Fostering Trust and Quantifying Value of AI and MLby Dalmo Cirne, Veena CalamburFirst submitted to…
Summary of Tapvid-3d: a Benchmark For Tracking Any Point in 3d, by Skanda Koppula et al.
TAPVid-3D: A Benchmark for Tracking Any Point in 3Dby Skanda Koppula, Ignacio Rocco, Yi Yang,…
Summary of Graph Anomaly Detection with Noisy Labels by Reinforcement Learning, By Zhu Wang et al.
Graph Anomaly Detection with Noisy Labels by Reinforcement Learningby Zhu Wang, Shuang Zhou, Junnan Dong,…
Summary of Pruning One More Token Is Enough: Leveraging Latency-workload Non-linearities For Vision Transformers on the Edge, by Nick John Eliopoulos et al.
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edgeby…
Summary of Causality-driven Sequence Segmentation For Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing, by Yimeng He et al.
Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensingby Yimeng He,…
Summary of T2vsafetybench: Evaluating the Safety Of Text-to-video Generative Models, by Yibo Miao et al.
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Modelsby Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia…
Summary of Active Label Refinement For Robust Training Of Imbalanced Medical Image Classification Tasks in the Presence Of High Label Noise, by Bidur Khanal et al.
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence…
Summary of On Bellman Equations For Continuous-time Policy Evaluation I: Discretization and Approximation, by Wenlong Mou et al.
On Bellman equations for continuous-time policy evaluation I: discretization and approximationby Wenlong Mou, Yuhua ZhuFirst…
Summary of Mtl-split: Multi-task Learning For Edge Devices Using Split Computing, by Luigi Capogrosso et al.
MTL-Split: Multi-Task Learning for Edge Devices using Split Computingby Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty,…