Summary of Pmlbmini: a Tabular Classification Benchmark Suite For Data-scarce Applications, by Ricardo Knauer et al.
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applicationsby Ricardo Knauer, Marvin Grimm, Erik RodnerFirst…
Summary of Enhancing Fine-grained Visual Recognition in the Low-data Regime Through Feature Magnitude Regularization, by Avraham Chapman et al.
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularizationby Avraham Chapman, Haiming…
Summary of Classifier-free Diffusion-based Weakly-supervised Approach For Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring, by Wenyang Hu et al.
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection…
Summary of Patternpaint: Practical Layout Pattern Generation Using Diffusion-based Inpainting, by Guanglei Zhou et al.
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpaintingby Guanglei Zhou, Bhargav Korrapati, Gaurav Rajavendra Reddy,…
Summary of Correlating Time Series with Interpretable Convolutional Kernels, by Xinyu Chen et al.
Correlating Time Series with Interpretable Convolutional Kernelsby Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua ZhaoFirst…
Summary of Chess: Optimizing Llm Inference Via Channel-wise Thresholding and Selective Sparsification, by Junhui He et al.
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsificationby Junhui He, Shangyu Wu, Weidong…
Summary of Debiasing Graph Representation Learning Based on Information Bottleneck, by Ziyi Zhang and Mingxuan Ouyang et al.
Debiasing Graph Representation Learning based on Information Bottleneckby Ziyi Zhang, Mingxuan Ouyang, Wanyu Lin, Hao…
Summary of Explanation Space: a New Perspective Into Time Series Interpretability, by Shahbaz Rezaei and Xin Liu
Explanation Space: A New Perspective into Time Series Interpretabilityby Shahbaz Rezaei, Xin LiuFirst submitted to…
Summary of Dataset Distillation From First Principles: Integrating Core Information Extraction and Purposeful Learning, by Vyacheslav Kungurtsev et al.
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learningby Vyacheslav Kungurtsev, Yuanfang…
Summary of Imitating Language Via Scalable Inverse Reinforcement Learning, by Markus Wulfmeier et al.
Imitating Language via Scalable Inverse Reinforcement Learningby Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja,…