Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentationby Hanieh Shojaei, Qianqian Zou, Max…
Distillation of Discrete Diffusion through Dimensional Correlationsby Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki,…
Preferential Normalizing Flowsby Petrus Mikkola, Luigi Acerbi, Arto KlamiFirst submitted to arxiv on: 11 Oct…
Why pre-training is beneficial for downstream classification tasks?by Xin Jiang, Xu Cheng, Zechao LiFirst submitted…
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Bothby…
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIPby Eunji Kim, Kyuhong Shim,…
On a Hidden Property in Computational Imagingby Yinan Feng, Yinpeng Chen, Yueh Lee, Youzuo LinFirst…
Towards Sharper Risk Bounds for Minimax Problemsby Bowei Zhu, Shaojie Li, Yong LiuFirst submitted to…
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalizationby Guangrui Yang, Ming Li, Han…
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Databy…