Summary of Universal Novelty Detection Through Adaptive Contrastive Learning, by Hossein Mirzaei et al.
Universal Novelty Detection Through Adaptive Contrastive Learningby Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher…
Summary of An End-to-end Reinforcement Learning Based Approach For Micro-view Order-dispatching in Ride-hailing, by Xinlang Yue et al.
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailingby Xinlang Yue, Yiran Liu,…
Summary of Single-cell Curriculum Learning-based Deep Graph Embedding Clustering, by Huifa Li et al.
Single-cell Curriculum Learning-based Deep Graph Embedding Clusteringby Huifa Li, Jie Fu, Xinpeng Ling, Zhiyu Sun,…
Summary of Adaptive Knowledge Distillation For Classification Of Hand Images Using Explainable Vision Transformers, by Thanh Thi Nguyen et al.
Adaptive Knowledge Distillation for Classification of Hand Images using Explainable Vision Transformersby Thanh Thi Nguyen,…
Summary of Augmenting Train Maintenance Technicians with Automated Incident Diagnostic Suggestions, by Georges Tod et al.
Augmenting train maintenance technicians with automated incident diagnostic suggestionsby Georges Tod, Jean Bruggeman, Evert Bevernage,…
Summary of Chatbots and Zero Sales Resistance, by Sauro Succi
Chatbots and Zero Sales Resistanceby Sauro SucciFirst submitted to arxiv on: 19 Aug 2024CategoriesMain: Machine…
Summary of Leveraging Superfluous Information in Contrastive Representation Learning, by Xuechu Yu
Leveraging Superfluous Information in Contrastive Representation Learningby Xuechu YuFirst submitted to arxiv on: 19 Aug…
Summary of Decoding Human Emotions: Analyzing Multi-channel Eeg Data Using Lstm Networks, by Shyam K Sateesh et al.
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networksby Shyam K Sateesh, Sparsh BK,…
Summary of Efficient Reinforcement Learning in Probabilistic Reward Machines, by Xiaofeng Lin et al.
Efficient Reinforcement Learning in Probabilistic Reward Machinesby Xiaofeng Lin, Xuezhou ZhangFirst submitted to arxiv on:…
Summary of Second-order Forward-mode Automatic Differentiation For Optimization, by Adam D. Cobb et al.
Second-Order Forward-Mode Automatic Differentiation for Optimizationby Adam D. Cobb, Atılım Güneş Baydin, Barak A. Pearlmutter,…