Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

47 Results

<<   <   Page 3 of 4   >   >>
Poster
Wed 9:00 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Ignacio Peis · Chao Ma · José Miguel Hernández-Lobato
Poster
Thu 14:00 On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
Poster
Tue 14:00 End-to-end Stochastic Optimization with Energy-based Model
Lingkai Kong · Jiaming Cui · Yuchen Zhuang · Rui Feng · B. Aditya Prakash · Chao Zhang
Poster
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
Poster
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
CHAO TU · YU ZHANG · Zhenyuan Ning
Poster
Thu 9:00 FR: Folded Rationalization with a Unified Encoder
Wei Liu · Haozhao Wang · Jun Wang · Ruixuan Li · Chao Yue · YuanKai Zhang
Poster
Tue 14:00 Learning Best Combination for Efficient N:M Sparsity
Yuxin Zhang · Mingbao Lin · ZhiHang Lin · Yiting Luo · Ke Li · Fei Chao · Yongjian Wu · Rongrong Ji
Poster
Thu 14:00 GhostNetV2: Enhance Cheap Operation with Long-Range Attention
Yehui Tang · Kai Han · Jianyuan Guo · Chang Xu · Chao Xu · Yunhe Wang
Poster
Wed 14:00 Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
WEICONG LIANG · YUHUI YUAN · Henghui Ding · Xiao Luo · Weihong Lin · Ding Jia · Zheng Zhang · Chao Zhang · Han Hu
Poster
Tue 9:00 Recommender Forest for Efficient Retrieval
Chao Feng · Wuchao Li · Defu Lian · Zheng Liu · Enhong Chen
Poster
Thu 9:00 Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Luis Herrmann · Maximilian Granz · Tim Landgraf
Poster
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
Zifan Wu · Chao Yu · Chen Chen · Jianye Hao · Hankz Hankui Zhuo