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• DiFA: Differentiable Feature Acquisition

  Aritra Ghosh, Andrew Lan

  7705-7713

  2023-06-26

• Local Intrinsic Dimensional Entropy

  Rohan Ghosh, Mehul Motani

  7714-7721

  2023-06-26

• Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis

  Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

  7722-7730

  2023-06-26

• Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation

  Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma

  7731-7739

  2023-06-26

• Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations

  Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu

  7740-7747

  2023-06-26

• Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting

  Tony Gracious, Ambedkar Dukkipati

  7748-7756

  2023-06-26

• An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data

  Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel

  7757-7765

  2023-06-26

• Interpolating Graph Pair to Regularize Graph Classification

  Hongyu Guo, Yongyi Mao

  7766-7774

  2023-06-26

• Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition

  Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo

  7775-7783

  2023-06-26

• Self-Supervised Bidirectional Learning for Graph Matching

  Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu

  7784-7792

  2023-06-26

• Boosting Graph Neural Networks via Adaptive Knowledge Distillation

  Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla

  7793-7801

  2023-06-26

• Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions

  Jeongsoo Ha, Kyungsoo Kim, Yusung Kim

  7802-7810

  2023-06-26

• Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation

  Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin

  7811-7820

  2023-06-26

• Astromorphic Self-Repair of Neuromorphic Hardware Systems

  Zhuangyu Han, A N M Nafiul Islam, Abhronil Sengupta

  7821-7829

  2023-06-26

• Estimating Regression Predictive Distributions with Sample Networks

  Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven Waslander, Liam Paull

  7830-7838

  2023-06-26

• NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension

  Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

  7839-7847

  2023-06-26

• Safeguarded Learned Convex Optimization

  Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin

  7848-7855

  2023-06-26

• Improving Long-Horizon Imitation through Instruction Prediction

  Joey Hejna, Pieter Abbeel, Lerrel Pinto

  7857-7865

  2023-06-26

• Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

  Thi Kieu Khanh Ho, Narges Armanfard

  7866-7874

  2023-06-26

• Improving Pareto Front Learning via Multi-Sample Hypernetworks

  Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang

  7875-7883

  2023-06-26

• Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance

  Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee

  7884-7892

  2023-06-26

• Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning

  Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

  7893-7901

  2023-06-26

• Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces

  Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose

  7902-7909

  2023-06-26

• RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy

  Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao

  7910-7918

  2023-06-26

• Background-Mixed Augmentation for Weakly Supervised Change Detection

  Rui Huang, Ruofei Wang, Qing Guo, Jieda Wei, Yuxiang Zhang, Wei Fan, Yang Liu

  7919-7927

  2023-06-26