Papers
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli et al.
Towards Binary-Valued Gates for Robust LSTM Training
Zhuohan Li, Di He, Fei Tian et al.
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li et al.
Towards Bridging Resolution in German: Data Analysis and Rule-based Experiments
Janis Pagel, Ina Roesiger
Toward Scalable Dialog Technology for Conversational Language Learning: Case Study of the TOEFL® MOOC
Vikram Ramanarayanan, David Pautler, Patrick Lange et al.
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
Hsueh-Fu Lu, Xiaofei Du, Ping-Lin Chang
Towards Consumer-Empowering Artificial Intelligence
Giuseppe Contissa, Francesca Lagioia, Marco Lippi et al.
Towards Controllable Story Generation
Nanyun Peng, Marjan Ghazvininejad, Jonathan May et al.
Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena
Ina Roesiger, Sarah Schulz, Nils Reiter
Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz et al.
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt et al.
Towards Dense Object Tracking in a 2D Honeybee Hive
Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev et al.
Towards Dynamic Computation Graphs via Sparse Latent Structure
Vlad Niculae, André F. T. Martins, Claire Cardie
Towards Effective Low-Bitwidth Convolutional Neural Networks
Bohan Zhuang, Chunhua Shen, Mingkui Tan et al.
Towards Enabling Binary Decomposition for Partial Label Learning
Xuan Wu, Min-Ling Zhang
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline
Zhenbo Xu, Wei Yang, Ajin Meng et al.
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
RJ Skerry-Ryan, Eric Battenberg, Ying Xiao et al.
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe, Siddhartha Arora, Suman Banerjee et al.
Towards Fast Computation of Certified Robustness for ReLU Networks
Lily Weng, Huan Zhang, Hongge Chen et al.
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
Peihua Li, Jiangtao Xie, Qilong Wang et al.
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
Pengfei Zhu, Hao Cheng, Qinghua Hu et al.
Towards Generating Personalized Hospitalization Summaries
Sabita Acharya, Barbara Di Eugenio, Andrew Boyd et al.
Towards High Performance Video Object Detection
Xizhou Zhu, Jifeng Dai, Lu Yuan et al.
Towards Human-Engaged AI
Xiaojuan Ma