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• Cross-Layer Distillation with Semantic Calibration

  Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen

  7028-7036

  2021-05-18

• THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation

  Mengyun Chen, Kaixin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zhenghai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu

  7046-7054

  2021-05-18

• Mercer Features for Efficient Combinatorial Bayesian Optimization

  Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

  7210-7218

  2021-05-18

• UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks

  Boyuan Feng, Yuke Wang, Yufei Ding

  7404-7412

  2021-05-18

• Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

  Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

  7601-7609

  2021-05-18

• Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

  Umang Gupta, Aaron M Ferber, Bistra Dilkina, Greg Ver Steeg

  7610-7619

  2021-05-18

• Analysing the Noise Model Error for Realistic Noisy Label Data

  Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

  7675-7684

  2021-05-18

• Graph Game Embedding

  Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

  7711-7720

  2021-05-18

• Neural Utility Functions

  Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li

  7917-7925

  2021-05-18

• Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

  Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

  7961-7969

  2021-05-18

• LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

  Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang

  7987-7994

  2021-05-18

• Kernel-convoluted Deep Neural Networks with Data Augmentation

  Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik

  8155-8162

  2021-05-18

• Neural Sequence-to-grid Module for Learning Symbolic Rules

  Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung

  8163-8171

  2021-05-18

• Metrics and Continuity in Reinforcement Learning

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

  8261-8269

  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

• LRSC: Learning Representations for Subspace Clustering

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

  8340-8348

  2021-05-18

• Token-Aware Virtual Adversarial Training in Natural Language Understanding

  Linyang Li, Xipeng Qiu

  8410-8418

  2021-05-18

• From Label Smoothing to Label Relaxation

  Julian Lienen, Eyke Hüllermeier

  8583-8591

  2021-05-18

• Multi-Proxy Wasserstein Classifier for Image Classification

  Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

  8618-8626

  2021-05-18

• Learning from eXtreme Bandit Feedback

  Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan

  8732-8740

  2021-05-18

• Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors

  Su Lu, Han-Jia Ye, De-Chuan Zhan

  8776-8783

  2021-05-18

• Exact Reduction of Huge Action Spaces in General Reinforcement Learning

  Sultan J. Majeed, Marcus Hutter

  8874-8883

  2021-05-18

• An Information-Theoretic Framework for Unifying Active Learning Problems

  Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

  9126-9134

  2021-05-18

• Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

  Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

  9161-9169

  2021-05-18

• Tempered Sigmoid Activations for Deep Learning with Differential Privacy

  Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson

  9312-9321

  2021-05-18