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• KerGNNs: Interpretable Graph Neural Networks with Graph Kernels

  Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas

  6614-6622

  2022-06-28

• Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets

  Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang

  6960-6969

  2022-06-28

• Group-Aware Threshold Adaptation for Fair Classification

  Taeuk Jang, Pengyi Shi, Xiaoqian Wang

  6988-6995

  2022-06-28

• Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers

  Payam Karisani

  7087-7095

  2022-06-28

• Fast Monte-Carlo Approximation of the Attention Mechanism

  Hyunjun Kim, JeongGil Ko

  7185-7193

  2022-06-28

• Differentially Private Normalizing Flows for Synthetic Tabular Data Generation

  Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro

  7345-7353

  2022-06-28

• Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates

  Dan Ley, Umang Bhatt, Adrian Weller

  7390-7398

  2022-06-28

• Cross-Lingual Adversarial Domain Adaptation for Novice Programming

  Ye Mao, Farzaneh Khoshnevisan, Thomas Price, Tiffany Barnes, Min Chi

  7682-7690

  2022-06-28

• Exploring Safer Behaviors for Deep Reinforcement Learning

  Enrico Marchesini, Davide Corsi, Alessandro Farinelli

  7701-7709

  2022-06-28

• When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty

  Fernando Martínez-Plumed, David Castellano, Carlos Monserrat-Aranda, José Hernández-Orallo

  7719-7727

  2022-06-28

• Provable Guarantees for Understanding Out-of-Distribution Detection

  Peyman Morteza, Yixuan Li

  7831-7840

  2022-06-28

• On Causally Disentangled Representations

  Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N Balasubramanian

  8089-8097

  2022-06-28

• FedProto: Federated Prototype Learning across Heterogeneous Clients

  Yue Tan, Guodong Long, LU LIU, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

  8432-8440

  2022-06-28

• Robust Optimal Classification Trees against Adversarial Examples

  Daniël Vos, Sicco Verwer

  8520-8528

  2022-06-28

• Context Uncertainty in Contextual Bandits with Applications to Recommender Systems

  Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

  8539-8547

  2022-06-28

• Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD

  Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

  8548-8556

  2022-06-28

• PUMA: Performance Unchanged Model Augmentation for Training Data Removal

  Ga Wu, Masoud Hashemi, Christopher Srinivasa

  8675-8682

  2022-06-28

• Towards Off-Policy Learning for Ranking Policies with Logged Feedback

  Teng Xiao, Suhang Wang

  8700-8707

  2022-06-28

• Seizing Critical Learning Periods in Federated Learning

  Gang Yan, Hao Wang, Jian Li

  8788-8796

  2022-06-28

• Graph Pointer Neural Networks

  Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

  8832-8839

  2022-06-28

• Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards

  Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low

  9448-9456

  2022-06-28

• Multi-Agent Incentive Communication via Decentralized Teammate Modeling

  Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, ZongZhang Zhang, Yang Yu, Chongjie Zhang

  9466-9474

  2022-06-28

• Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations

  Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha

  9567-9574

  2022-06-28

• Risk-Aware Stochastic Shortest Path

  Tobias Meggendorfer

  9858-9867

  2022-06-28

• DeepStochLog: Neural Stochastic Logic Programming

  Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt

  10090-10100

  2022-06-28