Paper List
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Summary of Diffusion Facial Forgery Detection, by Harry Cheng and Yangyang Guo and Tianyi Wang and Liqiang Nie and Mohan Kankanhalli
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Summary of Distribution-consistency Structural Causal Models, by Heyang Gong et al.
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Summary of Overcoming the Pitfalls Of Vision-language Model Finetuning For Ood Generalization, by Yuhang Zang et al.
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Summary of Distilling Privileged Multimodal Information For Expression Recognition Using Optimal Transport, by Muhammad Haseeb Aslam et al.
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Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
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Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
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Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
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Summary of Fine-tuned Large Language Models For Symptom Recognition From Spanish Clinical Text, by Mai A. Shaaban et al.
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Summary of Real-time Object Detection and Robotic Manipulation For Agriculture Using a Yolo-based Learning Approach, by Hongyu Zhao et al.
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Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
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Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
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Summary of On the Statistical Properties Of Generative Adversarial Models For Low Intrinsic Data Dimension, by Saptarshi Chakraborty and Peter L. Bartlett
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Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
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Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
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Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
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Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
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Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
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Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
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Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
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Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
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Summary of A Class-aware Optimal Transport Approach with Higher-order Moment Matching For Unsupervised Domain Adaptation, by Tuan Nguyen et al.
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Summary of Scalable Federated Unlearning Via Isolated and Coded Sharding, by Yijing Lin et al.
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Summary of Spatio-temporal Attention Graph Neural Network For Remaining Useful Life Prediction, by Zhixin Huang and Yujiang He and Bernhard Sick
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Summary of Unsupervised Solution Operator Learning For Mean-field Games Via Sampling-invariant Parametrizations, by Han Huang et al.