Summary of Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery, by Linan Yue et al.
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discoveryby Linan Yue, Qi Liu, Yichao Du, Li…
Summary of Efficient Post-training Augmentation For Adaptive Inference in Heterogeneous and Distributed Iot Environments, by Max Sponner and Lorenzo Servadei and Bernd Waschneck and Robert Wille and Akash Kumar
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environmentsby Max Sponner, Lorenzo…
Summary of Temporal Decisions: Leveraging Temporal Correlation For Efficient Decisions in Early Exit Neural Networks, by Max Sponner and Lorenzo Servadei and Bernd Waschneck and Robert Wille and Akash Kumar
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networksby Max Sponner,…
Summary of Deepcdcl: An Cdcl-based Neural Network Verification Framework, by Zongxin Liu et al.
DeepCDCL: An CDCL-based Neural Network Verification Frameworkby Zongxin Liu, Pengfei Yang, Lijun Zhang, Xiaowei HuangFirst…
Summary of Conditional Computation in Neural Networks: Principles and Research Trends, by Simone Scardapane et al.
Conditional computation in neural networks: principles and research trendsby Simone Scardapane, Alessandro Baiocchi, Alessio Devoto,…
Summary of Applying Ranking Techniques For Estimating Influence Of Earth Variables on Temperature Forecast Error, by M. Julia Flores et al.
Applying ranking techniques for estimating influence of Earth variables on temperature forecast errorby M. Julia…
Summary of Feasibility Of Machine Learning-based Rice Yield Prediction in India at the District Level Using Climate Reanalysis Data, by Djavan De Clercq et al.
Feasibility of machine learning-based rice yield prediction in India at the district level using climate…
Summary of Do Deep Neural Network Solutions Form a Star Domain?, by Ankit Sonthalia et al.
Do Deep Neural Network Solutions Form a Star Domain?by Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad,…
Summary of Knowcoder: Coding Structured Knowledge Into Llms For Universal Information Extraction, by Zixuan Li et al.
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractionby Zixuan Li, Yutao Zeng, Yuxin…
Summary of Do Agents Dream Of Electric Sheep?: Improving Generalization in Reinforcement Learning Through Generative Learning, by Giorgio Franceschelli and Mirco Musolesi
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learningby Giorgio…