Papers
Towards Efficient Detection and Optimal Response against Sophisticated Opponents
Tianpei Yang, Jianye Hao, Zhaopeng Meng et al.
Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset
Hannah Rashkin, Eric Michael Smith, Margaret Li et al.
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks
Yuanzhi Li, Colin Wei, Tengyu Ma
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
Mahmoud Azab, Stephane Dadian, Vivi Nastase et al.
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
Mahmoud Azab, Stephane Dadian, Vivi Nastase et al.
Towards Fine-grained Text Sentiment Transfer
Fuli Luo, Peng Li, Pengcheng Yang et al.
Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
Ian Davidson, Peter B. Walker
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani, Colin Raffel, Luke Metz
Towards Gene Function Prediction via Multi-Networks Representation Learning
Hansheng Xue, Jiajie Peng, Xuequn Shang
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Kaixin Ma, Jonathan Francis, Quanyang Lu et al.
Towards Generalized Speech Enhancement with Generative Adversarial Networks
Santiago Pascual, Joan Serrà, Antonio Bonafonte
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang et al.
Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning
John Yang, Gyuejeong Lee, Simyung Chang et al.
Towards Gradient Free and Projection Free Stochastic Optimization
Anit Kumar Sahu, Manzil Zaheer, Soummya Kar
Towards Hardware-Aware Tractable Learning of Probabilistic Models
Laura I Galindez Olascoaga, Wannes Meert, Nimish Shah et al.
Towards High-Fidelity Nonlinear 3D Face Morphable Model
Luan Tran, Feng Liu, Xiaoming Liu
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Ying Tai, Yicong Liang, Xiaoming Liu et al.
Towards High-Resolution Salient Object Detection
Yi Zeng, Pingping Zhang, Jianming Zhang et al.
Towards Improving Neural Named Entity Recognition with Gazetteers
Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin
Towards Incremental Learning of Word Embeddings Using Context Informativeness
Alexandre Kabbach, Kristina Gulordava, Aurélie Herbelot
Towards Instance-Level Image-To-Image Translation
Zhiqiang Shen, Mingyang Huang, Jianping Shi et al.
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks
Ahmad Aghaebrahimian, Mark Cieliebak
Towards Interpretable Face Recognition
Bangjie Yin, Luan Tran, Haoxiang Li et al.
Towards Interpretable Object Detection by Unfolding Latent Structures
Tianfu Wu, Xi Song