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• Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data

  Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu

  7024-7032

  2022-06-28

• Fast Graph Neural Tangent Kernel via Kronecker Sketching

  Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo

  7033-7041

  2022-06-28

• Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning

  Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu

  7042-7050

  2022-06-28

• Adaptive Kernel Graph Neural Network

  Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao

  7051-7058

  2022-06-28

• Fully Spiking Variational Autoencoder

  Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada

  7059-7067

  2022-06-28

• Classifying Emails into Human vs Machine Category

  Changsung Kang, Hongwei Shang, Jean-Marc Langlois

  7069-7077

  2022-06-28

• Self-Supervised Enhancement of Latent Discovery in GANs

  Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S. Sumitra

  7078-7086

  2022-06-28

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

  Payam Karisani

  7087-7095

  2022-06-28

• Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit

  Nikolai Karpov, Qin Zhang

  7096-7103

  2022-06-28

• iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection

  Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

  7104-7114

  2022-06-28

• Partial Wasserstein Covering

  Keisuke Kawano, Satoshi Koide, Keisuke Otaki

  7115-7123

  2022-06-28

• Optimal Tensor Transport

  Tanguy Kerdoncuff, Rémi Emonet, Michael Perrot, Marc Sebban

  7124-7132

  2022-06-28

• Dist2Cycle: A Simplicial Neural Network for Homology Localization

  Alexandros D Keros, Vidit Nanda, Kartic Subr

  7133-7142

  2022-06-28

• Same State, Different Task: Continual Reinforcement Learning without Interference

  Samuel Kessler, Jack Parker-Holder, Philip Ball, Stefan Zohren, Stephen J. Roberts

  7143-7151

  2022-06-28

• Spatial Frequency Bias in Convolutional Generative Adversarial Networks

  Mahyar Khayatkhoei, Ahmed Elgammal

  7152-7159

  2022-06-28

• The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning

  Daniel Kienitz, Ekaterina Komendantskaya, Michael Lones

  7160-7167

  2022-06-28

• A Computable Definition of the Spectral Bias

  Jonas Kiessling, Filip Thor

  7168-7175

  2022-06-28

• A Nested Bi-level Optimization Framework for Robust Few Shot Learning

  Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh Iyer

  7176-7184

  2022-06-28

• Fast Monte-Carlo Approximation of the Attention Mechanism

  Hyunjun Kim, JeongGil Ko

  7185-7193

  2022-06-28

• Towards a Rigorous Evaluation of Time-Series Anomaly Detection

  Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

  7194-7201

  2022-06-28

• Introducing Symmetries to Black Box Meta Reinforcement Learning

  Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen

  7202-7210

  2022-06-28

• Directed Graph Auto-Encoders

  Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Ide, Aurélie Lozano, Naoki Abe

  7211-7219

  2022-06-28

• HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks

  Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

  7220-7228

  2022-06-28

• Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs

  Ezgi Korkmaz

  7229-7238

  2022-06-28

• Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method

  James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck

  7239-7246

  2022-06-28