Summary of Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients, by Xiaolu Wang et al.
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clientsby Xiaolu Wang, Zijian Li, Shi…
Summary of Adadagrad: Adaptive Batch Size Schemes For Adaptive Gradient Methods, by Tim Tsz-kit Lau et al.
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methodsby Tim Tsz-Kit Lau, Han Liu, Mladen…
Summary of Adaptive Split Balancing For Optimal Random Forest, by Yuqian Zhang et al.
Adaptive Split Balancing for Optimal Random Forestby Yuqian Zhang, Weijie Ji, Jelena BradicFirst submitted to…
Summary of Heal: Brain-inspired Hyperdimensional Efficient Active Learning, by Yang Ni et al.
HEAL: Brain-inspired Hyperdimensional Efficient Active Learningby Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William…
Summary of Neural Networks with (low-precision) Polynomial Approximations: New Insights and Techniques For Accuracy Improvement, by Chi Zhang et al.
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvementby Chi Zhang,…
Summary of Zerog: Investigating Cross-dataset Zero-shot Transferability in Graphs, by Yuhan Li et al.
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphsby Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu…
Summary of Be Persistent: Towards a Unified Solution For Mitigating Shortcuts in Deep Learning, by Hadi M. Dolatabadi et al.
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learningby Hadi M. Dolatabadi,…
Summary of Aligning Large Language Models by On-policy Self-judgment, By Sangkyu Lee et al.
Aligning Large Language Models by On-Policy Self-Judgmentby Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo,…
Summary of Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection, By Huafeng Liu et al.
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selectionby Huafeng Liu, Mengmeng Sheng,…
Summary of Debiased Offline Representation Learning For Fast Online Adaptation in Non-stationary Dynamics, by Xinyu Zhang et al.
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamicsby Xinyu Zhang, Wenjie Qiu,…