Papers
Binarized Neural Architecture Search
Hanlin Chen, Li'an Zhuo, Baochang Zhang et al.
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang et al.
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks
Timothy Tadros, Giri Krishnan, Ramyaa Ramyaa et al.
Biologically Plausible Sequence Learning with Spiking Neural Networks
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar et al.
Bivariate Beta-LSTM
Kyungwoo Song, JoonHo Jang, Seung jae Shin et al.
Blameworthiness in Security Games
Pavel Naumov, Jia Tao
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Qiquan Shi, Jiaming Yin, Jiajun Cai et al.
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition
Chuanqi Tan, Wei Qiu, Mosha Chen et al.
Bounded Incentives in Manipulating the Probabilistic Serial Rule
Zihe Wang, Zhide Wei, Jie Zhang
Bounding Regret in Empirical Games
Steven Jecmen, Arunesh Sinha, Zun Li et al.
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
Abhijin Adiga, Chris Kuhlman, Madhav Marathe et al.
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic
Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
Brain-Mediated Transfer Learning of Convolutional Neural Networks
Satoshi Nishida, Yusuke Nakano, Antoine Blanc et al.
Breakdown Detection in Negotiation Dialogues (Student Abstract)
Atsuki Yamaguchi, Katsuhide Fujita
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence
Miaoyun Zhao, Yulai Cong, Shuyang Dai et al.
Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
Chengyi Wang, Yu Wu, Shujie Liu et al.
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri et al.
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
Farzan Masrour, Tyler Wilson, Heng Yan et al.
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
Huy Phan, Yi Xie, Siyu Liao et al.
Cakewalk Sampling
Uri Patish, Shimon Ullman
Calorie Estimation in a Real-World Recipe Service
Jun Harashima, Makoto Hiramatsu, Satoshi Sanjo
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract)
Jiaming Zeng, Imon Banerjee, Michael Gensheimer et al.
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory
Hiep V. Le, Tsuyoshi Murata, Masato Iguchi
Can We Predict the Election Outcome from Sampled Votes?
Evi Micha, Nisarg Shah