Summary of A Monte Carlo Framework For Calibrated Uncertainty Estimation in Sequence Prediction, by Qidong Yang et al.
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Predictionby Qidong Yang, Weicheng Zhu,…
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Predictionby Qidong Yang, Weicheng Zhu,…
An Iterative Algorithm for Regularized Non-negative Matrix Factorizationsby Steven E. PavFirst submitted to arxiv on:…
Subgraph Aggregation for Out-of-Distribution Generalization on Graphsby Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie,…
Enhance Hyperbolic Representation Learning via Second-order Poolingby Kun Song, Ruben Solozabal, Li hao, Lu Ren,…
Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Modelsby Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang GengFirst…
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative…
Scaling-based Data Augmentation for Generative Models and its Theoretical Extensionby Yoshitaka Koike, Takumi Nakagawa, Hiroki…
Intuitionistic Fuzzy Universum Twin Support Vector Machine for Imbalanced Databy A. Quadir, M. TanveerFirst submitted…
Self-Normalized Resets for Plasticity in Continual Learningby Vivek F. Farias, Adam D. JozefiakFirst submitted to…
Provable optimal transport with transformers: The essence of depth and prompt engineeringby Hadi DaneshmandFirst submitted…