Summary of A Generic Layer Pruning Method For Signal Modulation Recognition Deep Learning Models, by Yao Lu et al.
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Modelsby Yao Lu, Yutao…
Summary of Large Language Model Unlearning Via Embedding-corrupted Prompts, by Chris Yuhao Liu et al.
Large Language Model Unlearning via Embedding-Corrupted Promptsby Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang…
Summary of Defining and Detecting Vulnerability in Human Evaluation Guidelines: a Preliminary Study Towards Reliable Nlg Evaluation, by Jie Ruan et al.
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluationby…
Summary of How Interpretable Are Interpretable Graph Neural Networks?, by Yongqiang Chen et al.
How Interpretable Are Interpretable Graph Neural Networks?by Yongqiang Chen, Yatao Bian, Bo Han, James ChengFirst…
Summary of Better Than Random: Reliable Nlg Human Evaluation with Constrained Active Sampling, by Jie Ruan et al.
Better than Random: Reliable NLG Human Evaluation with Constrained Active Samplingby Jie Ruan, Xiao Pu,…
Summary of It Takes Two: on the Seamlessness Between Reward and Policy Model in Rlhf, by Taiming Lu et al.
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHFby Taiming Lu,…
Summary of Heuristic Learning with Graph Neural Networks: a Unified Framework For Link Prediction, by Juzheng Zhang et al.
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Predictionby Juzheng Zhang, Lanning…
Summary of Reinforcement Learning For High-level Strategic Control in Tower Defense Games, by Joakim Bergdahl et al.
Reinforcement Learning for High-Level Strategic Control in Tower Defense Gamesby Joakim Bergdahl, Alessandro Sestini, Linus…
Summary of Meta-learning Neural Procedural Biases, by Christian Raymond et al.
Meta-Learning Neural Procedural Biasesby Christian Raymond, Qi Chen, Bing Xue, Mengjie ZhangFirst submitted to arxiv…
Summary of Interpetable Target-feature Aggregation For Multi-task Learning Based on Bias-variance Analysis, by Paolo Bonetti et al.
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysisby Paolo Bonetti, Alberto Maria Metelli,…