Papers
Improving Online Algorithms via ML Predictions
Manish Purohit, Zoya Svitkina, Ravi Kumar
Improving Optimization for Models With Continuous Symmetry Breaking
Robert Bamler, Stephan Mandt
Improving Regression Performance with Distributional Losses
Ehsan Imani, Martha White
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
Tszhang Guo, Shiyu Chang, Mo Yu et al.
Improving Reinforcement Learning with Human Input
Matthew E. Taylor
Improving Response Time of Active Speaker Detection Using Visual Prosody Information Prior to Articulation
Fasih Haider, Saturnino Luz, Carl Vogel et al.
Improving Sign Random Projections With Additional Information
Keegan Kang, Weipin Wong
Improving Simple Models with Confidence Profiles
Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss et al.
Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function
Shaojin Ding, Guanlong Zhao, Christopher Liberatore et al.
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
Qiang Ning, Hao Wu, Haoruo Peng et al.
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang et al.
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle, Yu-Xiang Wang
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei, Boqing Gong, Zixia Liu et al.
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Radu Tudor Ionescu, Andrei M. Butnaru
Improving the Transformer Translation Model with Document-Level Context
Jiacheng Zhang, Huanbo Luan, Maosong Sun et al.
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
Da Xiao, Jo-Yu Liao, Xingyuan Yuan
Improving Topic Quality by Promoting Named Entities in Topic Modeling
Katsiaryna Krasnashchok, Salim Jouili
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
Yunsu Kim, Jiahui Geng, Hermann Ney
Inaudible Voice Commands: The Long-Range Attack and Defense
Nirupam Roy, Sheng Shen, Haitham Hassanieh et al.
Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)
Natasha Alechina, Joseph Y. Halpern, Ian A. Kash et al.
Incentivizing Exploration by Heterogeneous Users
Bangrui Chen, Peter Frazier, David Kempe
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou et al.
Including Uncertainty when Learning from Human Corrections
Dylan P. Losey, Marcia K. O’Malley