Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generationby Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan…
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Frameworkby Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali…
Predictive Uncertainty Quantification for Bird’s Eye View Segmentation: A Benchmark and Novel Loss Functionby Linlin…
Fully Unconstrained Online Learningby Ashok Cutkosky, Zakaria MhammediFirst submitted to arxiv on: 30 May 2024CategoriesMain:…
Boost Your Own Human Image Generation Model via Direct Preference Optimization with AI Feedbackby Sanghyeon…
Learning Latent Graph Structures and their Uncertaintyby Alessandro Manenti, Daniele Zambon, Cesare AlippiFirst submitted to…
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNsby Zhiheng Zhou, Sihao…
Reconciling Model Multiplicity for Downstream Decision Makingby Ally Yalei Du, Dung Daniel Ngo, Zhiwei Steven…
Contrasting Multiple Representations with the Multi-Marginal Matching Gapby Zoe Piran, Michal Klein, James Thornton, Marco…
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equationby Zhiqiang Cai, Yu…