Summary of Onebench to Test Them All: Sample-level Benchmarking Over Open-ended Capabilities, by Adhiraj Ghosh et al.
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilitiesby Adhiraj Ghosh, Sebastian Dziadzio, Ameya…
Summary of Extrapolated Urban View Synthesis Benchmark, by Xiangyu Han et al.
Extrapolated Urban View Synthesis Benchmarkby Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic,…
Summary of Consistentfeature: a Plug-and-play Component For Neural Network Regularization, by Ruizhe Jiang et al.
ConsistentFeature: A Plug-and-Play Component for Neural Network Regularizationby RuiZhe Jiang, Haotian LeiFirst submitted to arxiv…
Summary of Effectiveness Of L2 Regularization in Privacy-preserving Machine Learning, by Nikolaos Chandrinos (1) et al.
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learningby Nikolaos Chandrinos, Iliana Loi, Panagiotis Zachos, Ioannis…
Summary of Fsmlp: Modelling Channel Dependencies with Simplex Theory Based Multi-layer Perceptions in Frequency Domain, by Zhengnan Li et al.
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domainby Zhengnan Li,…
Summary of Paint Outside the Box: Synthesizing and Selecting Training Data For Visual Grounding, by Zilin Du et al.
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Groundingby Zilin Du, Haoxin…
Summary of Friend or Foe? Harnessing Controllable Overfitting For Anomaly Detection, by Long Qian and Bingke Zhu and Yingying Chen and Ming Tang and Jinqiao Wang
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detectionby Long Qian, Bingke Zhu, Yingying Chen,…
Summary of Learning Locally, Revising Globally: Global Reviser For Federated Learning with Noisy Labels, by Yuxin Tian et al.
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labelsby Yuxin Tian, Mouxing…
Summary of One-step Early Stopping Strategy Using Neural Tangent Kernel Theory and Rademacher Complexity, by Daniel Martin Xavier and Ludovic Chamoin and Jawher Jerray and Laurent Fribourg
One-Step Early Stopping Strategy using Neural Tangent Kernel Theory and Rademacher Complexityby Daniel Martin Xavier,…
Summary of Improving Resistance to Noisy Label Fitting by Reweighting Gradient in Sam, By Hoang-chau Luong et al.
Improving Resistance to Noisy Label Fitting by Reweighting Gradient in SAMby Hoang-Chau Luong, Thuc Nguyen-Quang,…