Summary of False Positive Sampling-based Data Augmentation For Enhanced 3d Object Detection Accuracy, by Jiyong Oh et al.
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracyby Jiyong Oh, Junhaeng Lee,…
Summary of Remove That Square Root: a New Efficient Scale-invariant Version Of Adagrad, by Sayantan Choudhury et al.
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGradby Sayantan Choudhury, Nazarii Tupitsa,…
Summary of Time Weaver: a Conditional Time Series Generation Model, by Sai Shankar Narasimhan et al.
Time Weaver: A Conditional Time Series Generation Modelby Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin,…
Summary of Learning to Defer to a Population: a Meta-learning Approach, by Dharmesh Tailor et al.
Learning to Defer to a Population: A Meta-Learning Approachby Dharmesh Tailor, Aditya Patra, Rajeev Verma,…
Summary of Sgd with Partial Hessian For Deep Neural Networks Optimization, by Ying Sun et al.
SGD with Partial Hessian for Deep Neural Networks Optimizationby Ying Sun, Hongwei Yong, Lei ZhangFirst…
Summary of Dirichlet-based Per-sample Weighting by Transition Matrix For Noisy Label Learning, By Heesun Bae et al.
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learningby HeeSun Bae, Seungjae Shin, Byeonghu…
Summary of Meancache: User-centric Semantic Caching For Llm Web Services, by Waris Gill (1) et al.
MeanCache: User-Centric Semantic Caching for LLM Web Servicesby Waris Gill, Mohamed Elidrisi, Pallavi Kalapatapu, Ammar…
Summary of Controllable Prompt Tuning For Balancing Group Distributional Robustness, by Hoang Phan and Andrew Gordon Wilson and Qi Lei
Controllable Prompt Tuning For Balancing Group Distributional Robustnessby Hoang Phan, Andrew Gordon Wilson, Qi LeiFirst…
Summary of Noise Misleads Rotation Invariant Algorithms on Sparse Targets, by Manfred K. Warmuth (1) et al.
Noise misleads rotation invariant algorithms on sparse targetsby Manfred K. Warmuth, Wojciech Kotłowski, Matt Jones,…
Summary of A Two-stage Training Method For Modeling Constrained Systems with Neural Networks, by C. Coelho et al.
A Two-Stage Training Method for Modeling Constrained Systems With Neural Networksby C. Coelho, M. Fernanda…