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• Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

  Utku Evci, Yani Ioannou, Cem Keskin, Yann Dauphin

  6577-6586

  2022-06-28

• Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation

  Jicong Fan

  6587-6596

  2022-06-28

• Up to 100x Faster Data-Free Knowledge Distillation

  Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song

  6597-6604

  2022-06-28

• Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification

  Zhiyu Fang, Xiaobin Zhu, Chun Yang, Zheng Han, Jingyan Qin, Xu-Cheng Yin

  6605-6613

  2022-06-28

• KerGNNs: Interpretable Graph Neural Networks with Graph Kernels

  Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas

  6614-6622

  2022-06-28

• Scaling Neural Program Synthesis with Distribution-Based Search

  Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Nayan Potta

  6623-6630

  2022-06-28

• Modification-Fair Cluster Editing

  Vincent Froese, Leon Kellerhals, Rolf Niedermeier

  6631-6638

  2022-06-28

• Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting

  Yuwei Fu, Di Wu, Benoit Boulet

  6639-6647

  2022-06-28

• JFB: Jacobian-Free Backpropagation for Implicit Networks

  Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel Mckenzie, Stanley Osher, Wotao Yin

  6648-6656

  2022-06-28

• Smoothing Advantage Learning

  Yaozhong Gan, Zhe Zhang, Xiaoyang Tan

  6657-6664

  2022-06-28

• Enhancing Counterfactual Classification Performance via Self-Training

  Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

  6665-6673

  2022-06-28

• Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

  Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu

  6674-6684

  2022-06-28

• Algorithmic Concept-Based Explainable Reasoning

  Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Veličković, Pietro Lió

  6685-6693

  2022-06-28

• Recovering the Propensity Score from Biased Positive Unlabeled Data

  Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner

  6694-6702

  2022-06-28

• DiPS: Differentiable Policy for Sketching in Recommender Systems

  Aritra Ghosh, Saayan Mitra, Andrew Lan

  6703-6712

  2022-06-28

• Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics

  Pierre Gillot, Pekka Parviainen

  6713-6720

  2022-06-28

• Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment

  Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li

  6721-6728

  2022-06-28

• Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings

  Xiuwen Gong, Dong Yuan, Wei Bao

  6729-6736

  2022-06-28

• LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks

  Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng

  6737-6745

  2022-06-28

• Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation

  Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K Lehmann

  6746-6754

  2022-06-28

• GoTube: Scalable Statistical Verification of Continuous-Depth Models

  Sophie A. Gruenbacher, Mathias Lechner, Ramin Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu

  6755-6764

  2022-06-28

• Balanced Self-Paced Learning for AUC Maximization

  Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang

  6765-6773

  2022-06-28

• Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods

  Xin Guo, Anran Hu, Junzi Zhang

  6774-6782

  2022-06-28

• Adaptive Orthogonal Projection for Batch and Online Continual Learning

  Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu

  6783-6791

  2022-06-28

• Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

  Yijie Guo, Qiucheng Wu, Honglak Lee

  6792-6800

  2022-06-28