Papers
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection
Keze Wang, Xiaopeng Yan, Dongyu Zhang et al.
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies
Taraka Rama, Søren Wichmann
Towards Image Understanding from Deep Compression Without Decoding
Robert Torfason, Fabian Mentzer, Eirikur Agustsson et al.
Towards Inference-Oriented Reading Comprehension: ParallelQA
Soumya Wadhwa, Varsha Embar, Matthias Grabmair et al.
Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks
Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
Yahui Liu, Wei Bi, Jun Gao et al.
Towards Memory-Friendly Deterministic Incremental Gradient Method
Jiahao Xie, Hui Qian, Zebang Shen et al.
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
Zebang Shen, Aryan Mokhtari, Tengfei Zhou et al.
Towards Neural Phrase-based Machine Translation
Po-Sen Huang, Chong Wang, Sitao Huang et al.
Towards one-shot learning for rare-word translation with external experts
Ngoc-Quan Pham, Jan Niehues, Alexander Waibel
Towards Open-Set Identity Preserving Face Synthesis
Jianmin Bao, Dong Chen, Fang Wen et al.
Towards Opinion Summarization of Customer Reviews
Samuel Pecar
Toward Specification-Guided Active Mars Exploration for Cooperative Robot Teams
Petter Nilsson, Sofie Haesaert, Rohan Thakker et al.
Towards Pose Invariant Face Recognition in the Wild
Jian Zhao, Yu Cheng, Yan Xu et al.
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
Zhenyu Wu, Zhangyang Wang, Zhaowen Wang et al.
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation
Mohammadreza Soltani, Chinmay Hegde
Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
Bénédicte Pierrejean, Ludovic Tanguy
Towards Reading Comprehension for Long Documents
Yuanxing Zhang, Yangbin Zhang, Kaigui Bian et al.
Towards Realistic Predictors
Pei Wang, Nuno Vasconcelos
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh, Max Augustin, Mario Fritz et al.
Towards Robust and Privacy-preserving Text Representations
Yitong Li, Timothy Baldwin, Trevor Cohn
Towards Robust Detection of Adversarial Examples
Tianyu Pang, Chao Du, Yinpeng Dong et al.
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez Melis, Tommi Jaakkola
Towards Robust Neural Machine Translation
Yong Cheng, Zhaopeng Tu, Fandong Meng et al.