Summary of Improving Graph Neural Networks Via Adversarial Robustness Evaluation, by Yongyu Wang
Improving Graph Neural Networks via Adversarial Robustness Evaluationby Yongyu WangFirst submitted to arxiv on: 14…
Summary of Large Language Models For Medical Forecasting — Foresight 2, by Zeljko Kraljevic et al.
Large Language Models for Medical Forecasting – Foresight 2by Zeljko Kraljevic, Joshua Au Yeung, Daniel…
Summary of Duet: Dual Clustering Enhanced Multivariate Time Series Forecasting, by Xiangfei Qiu et al.
DUET: Dual Clustering Enhanced Multivariate Time Series Forecastingby Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan…
Summary of Rwkv-lite: Deeply Compressed Rwkv For Resource-constrained Devices, by Wonkyo Choe et al.
RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devicesby Wonkyo Choe, Yangfeng Ji, Felix Xiaozhu LinFirst submitted…
Summary of Fully Test-time Adaptation For Tabular Data, by Zhi Zhou et al.
Fully Test-time Adaptation for Tabular Databy Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yu-Feng LiFirst submitted…
Summary of Adaptive Quantization Resolution and Power Control For Federated Learning Over Cell-free Networks, by Afsaneh Mahmoudi et al.
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networksby Afsaneh Mahmoudi, Emil…
Summary of Zigzag Diffusion Sampling: Diffusion Models Can Self-improve Via Self-reflection, by Lichen Bai et al.
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflectionby Lichen Bai, Shitong Shao, Zikai Zhou,…
Summary of Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-generation Neural Networks, by Giorgio Morales et al.
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networksby Giorgio Morales, John SheppardFirst…
Summary of Towards Unified Benchmark and Models For Multi-modal Perceptual Metrics, by Sara Ghazanfari et al.
Towards Unified Benchmark and Models for Multi-Modal Perceptual Metricsby Sara Ghazanfari, Siddharth Garg, Nicolas Flammarion,…
Summary of Hybrid Preference Optimization For Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration, By Avinandan Bose et al.
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online…