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• Visual Concept Reasoning Networks

  Taesup Kim, Sungwoong Kim, Yoshua Bengio

  8172-8180

  2021-05-18

• Sparsity Aware Normalization for GANs

  Idan Kligvasser, Tomer Michaeli

  8181-8190

  2021-05-18

• HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference

  Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl

  8191-8199

  2021-05-18

• Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization

  Alan Kuhnle

  8200-8208

  2021-05-18

• Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees

  Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh

  8209-8216

  2021-05-18

• Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification

  I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin

  8217-8225

  2021-05-18

• MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation

  Maksim Kuznetsov, Daniil Polykovskiy

  8226-8234

  2021-05-18

• Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters

  Weichao Lan, Liang Lan

  8235-8242

  2021-05-18

• Hypothesis Disparity Regularized Mutual Information Maximization

  Qicheng Lao, Xiang Jiang, Mohammad Havaei

  8243-8251

  2021-05-18

• Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables

  Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

  8252-8260

  2021-05-18

• Metrics and Continuity in Reinforcement Learning

  Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

  8261-8269

  2021-05-18

• Lipschitz Lifelong Reinforcement Learning

  Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

  8270-8278

  2021-05-18

• Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks

  Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft

  8279-8287

  2021-05-18

• Learnable Dynamic Temporal Pooling for Time Series Classification

  Dongha Lee, Seonghyeon Lee, Hwanjo Yu

  8288-8296

  2021-05-18

• Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network

  Seunghyun Lee, Byung Cheol Song

  8297-8305

  2021-05-18

• Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer

  Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim

  8306-8315

  2021-05-18

• Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients

  Zijian Lei, Liang Lan

  8316-8323

  2021-05-18

• Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem

  Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao

  8324-8331

  2021-05-18

• Unsupervised Active Learning via Subspace Learning

  Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang

  8332-8339

  2021-05-18

• LRSC: Learning Representations for Subspace Clustering

  Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang

  8340-8348

  2021-05-18

• GoT: a Growing Tree Model for Clustering Ensemble

  Feijiang Li, Yuhua Qian, Jieting Wang

  8349-8356

  2021-05-18

• VSQL: Variational Shadow Quantum Learning for Classification

  Guangxi Li, Zhixin Song, Xin Wang

  8357-8365

  2021-05-18

• High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition

  Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong

  8366-8374

  2021-05-18

• ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

  Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong

  8375-8383

  2021-05-18

• A Bayesian Approach for Subset Selection in Contextual Bandits

  Jialian Li, Chao Du, Jun Zhu

  8384-8391

  2021-05-18