Summary of A Survey Of Imitation Learning Methods, Environments and Metrics, by Nathan Gavenski et al.
A Survey of Imitation Learning Methods, Environments and Metricsby Nathan Gavenski, Felipe Meneguzzi, Michael Luck,…
Summary of How to Sustainably Monitor Ml-enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection, by Rafiullah Omar et al.
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detectionby…
Summary of Continual Model-based Reinforcement Learning For Data Efficient Wireless Network Optimisation, by Cengis Hasan et al.
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisationby Cengis Hasan, Alexandros Agapitos, David…
Summary of Dpo Meets Ppo: Reinforced Token Optimization For Rlhf, by Han Zhong et al.
DPO Meets PPO: Reinforced Token Optimization for RLHFby Han Zhong, Zikang Shan, Guhao Feng, Wei…
Summary of Stylus: Automatic Adapter Selection For Diffusion Models, by Michael Luo et al.
Stylus: Automatic Adapter Selection for Diffusion Modelsby Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang,…
Summary of Dynamic Model Switching For Improved Accuracy in Machine Learning, by Syed Tahir Abbas Hasani
Dynamic Model Switching for Improved Accuracy in Machine Learningby Syed Tahir Abbas HasaniFirst submitted to…
Summary of Learning Low-rank Feature For Thorax Disease Classification, by Rajeev Goel et al.
Learning Low-Rank Feature for Thorax Disease Classificationby Rajeev Goel, Utkarsh Nath, Yancheng Wang, Alvin C.…
Summary of Multimodal Fusion on Low-quality Data: a Comprehensive Survey, by Qingyang Zhang et al.
Multimodal Fusion on Low-quality Data: A Comprehensive Surveyby Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu…
Summary of Sub-adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error From Sub-adjacent Neighborhoods, by Wenzhen Yue et al.
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoodsby Wenzhen Yue,…
Summary of Cue-net: Violence Detection Video Analytics with Spatial Cropping, Enhanced Uniformerv2 and Modified Efficient Additive Attention, by Damith Chamalke Senadeera et al.
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attentionby…