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• Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures

  Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

  6801-6809

  2022-06-28

• Improved Gradient-Based Adversarial Attacks for Quantized Networks

  Kartik Gupta, Thalaiyasingam Ajanthan

  6810-6818

  2022-06-28

• TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs

  Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

  6819-6828

  2022-06-28

• A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions

  Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau

  6829-6837

  2022-06-28

• Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing

  Bing Han, Cheng Wang, Kaushik Roy

  6838-6846

  2022-06-28

• End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification

  Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song

  6847-6855

  2022-06-28

• Cross-Domain Few-Shot Graph Classification

  Kaveh Hassani

  6856-6864

  2022-06-28

• SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data

  Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

  6865-6873

  2022-06-28

• Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch

  Rundong He, Zhongyi Han, Yang Yang, Yilong Yin

  6874-6883

  2022-06-28

• Wasserstein Unsupervised Reinforcement Learning

  Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji

  6884-6892

  2022-06-28

• Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation

  Yicong He, George K. Atia

  6893-6901

  2022-06-28

• Toward Physically Realizable Quantum Neural Networks

  Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

  6902-6909

  2022-06-28

• Reinforcement Learning of Causal Variables Using Mediation Analysis

  Tue Herlau, Rasmus Larsen

  6910-6917

  2022-06-28

• Anytime Guarantees under Heavy-Tailed Data

  Matthew J. Holland

  6918-6925

  2022-06-28

• Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning

  Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu

  6926-6934

  2022-06-28

• Towards Automating Model Explanations with Certified Robustness Guarantees

  Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

  6935-6943

  2022-06-28

• Multi-View Clustering on Topological Manifold

  Shudong Huang, Ivor Tsang, Zenglin Xu, Jiancheng Lv, Quan-Hui Liu

  6944-6951

  2022-06-28

• Achieving Counterfactual Fairness for Causal Bandit

  Wen Huang, Lu Zhang, Xintao Wu

  6952-6959

  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

• Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes

  Guillermo Infante, Anders Jonsson, Vicenç Gómez

  6970-6977

  2022-06-28

• Causal Discovery in Hawkes Processes by Minimum Description Length

  Amirkasra Jalaldoust, Kateřina Hlaváčková-Schindler, Claudia Plant

  6978-6987

  2022-06-28

• Group-Aware Threshold Adaptation for Fair Classification

  Taeuk Jang, Pengyi Shi, Xiaoqian Wang

  6988-6995

  2022-06-28

• Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces

  Andres G Jaramillo-Yanez, Marco E. Benalcázar, Sebastian Sardina, Fabio Zambetta

  6996-7004

  2022-06-28

• Label Hallucination for Few-Shot Classification

  Yiren Jian, Lorenzo Torresani

  7005-7014

  2022-06-28

• Learning Expected Emphatic Traces for Deep RL

  Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt

  7015-7023

  2022-06-28