Summary of Learning Aggregation Rules in Participatory Budgeting: a Data-driven Approach, by Roy Fairstein et al.
Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approachby Roy Fairstein, Dan Vilenchik, Kobi GalFirst…
Summary of Composition Of Experts: a Modular Compound Ai System Leveraging Large Language Models, by Swayambhoo Jain et al.
Composition of Experts: A Modular Compound AI System Leveraging Large Language Modelsby Swayambhoo Jain, Ravi…
Summary of Planning From Imagination: Episodic Simulation and Episodic Memory For Vision-and-language Navigation, by Yiyuan Pan et al.
Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigationby Yiyuan Pan, Yunzhe Xu,…
Summary of Understanding Bias in Large-scale Visual Datasets, by Boya Zeng et al.
Understanding Bias in Large-Scale Visual Datasetsby Boya Zeng, Yida Yin, Zhuang LiuFirst submitted to arxiv…
Summary of Malt: Improving Reasoning with Multi-agent Llm Training, by Sumeet Ramesh Motwani et al.
MALT: Improving Reasoning with Multi-Agent LLM Trainingby Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das,…
Summary of Beyond Pairwise Correlations: Higher-order Redundancies in Self-supervised Representation Learning, by David Zollikofer et al.
Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learningby David Zollikofer, Béni Egressy, Frederik Benzing,…
Summary of Ecg-sleepnet: Deep Learning-based Comprehensive Sleep Stage Classification Using Ecg Signals, by Poorya Aghaomidi et al.
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signalsby Poorya Aghaomidi, Ge WangFirst submitted…
Summary of Cross Domain Adaptation Using Adversarial Networks with Cyclic Loss, by Manpreet Kaur et al.
Cross Domain Adaptation using Adversarial networks with Cyclic lossby Manpreet Kaur, Ankur Tomar, Srijan Mishra,…
Summary of A Novel Generative Multi-task Representation Learning Approach For Predicting Postoperative Complications in Cardiac Surgery Patients, by Junbo Shen et al.
A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patientsby…
Summary of Kernel-free Universum Quadratic Surface Twin Support Vector Machines For Imbalanced Data, by Hossein Moosaei et al.
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Databy Hossein Moosaei, Milan Hladík,…