Papers
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev et al.
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
Xinyu Xiao, Lingfeng Wang, Bin Fan et al.
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
Xinyu Xiao, Lingfeng Wang, Bin Fan et al.
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
Guansong Lu, Zhiming Zhou, Yuxuan Song et al.
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
Yue Yu, Yilun Zhu, Yang Liu et al.
Gunrock: A Social Bot for Complex and Engaging Long Conversations
Dian Yu, Michelle Cohn, Yi Mang Yang et al.
Gunrock: A Social Bot for Complex and Engaging Long Conversations
Dian Yu, Michelle Cohn, Yi Mang Yang et al.
Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets et al.
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
Brian Thompson, Rebecca Knowles, Xuan Zhang et al.
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
Brian Thompson, Rebecca Knowles, Xuan Zhang et al.
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization
Hang Zhao, Antonio Torralba, Lorenzo Torresani et al.
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization
Himanshu Bansal, Daniel Nagel, Anita Soloveva
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs
Lei Wang, Piotr Koniusz, Du Q. Huynh
Hallucinating Optical Flow Features for Video Classification
Yongyi Tang, Lin Ma, Lianqiang Zhou
Hamiltonian descent for composite objectives
Brendan O'Donoghue, Chris J. Maddison
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang, Matias Quiroz, Robert Kohn et al.
Hamiltonian Neural Networks
Samuel Greydanus, Misko Dzamba, Jason Yosinski
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
Quentin Bertrand, Mathurin Massias, Alexandre Gramfort et al.
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh et al.
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
Debjit Paul, Mittul Singh, Michael A. Hedderich et al.
Handling Syntactic Divergence in Low-resource Machine Translation
Chunting Zhou, Xuezhe Ma, Junjie Hu et al.
Handling Syntactic Divergence in Low-resource Machine Translation
Chunting Zhou, Xuezhe Ma, Junjie Hu et al.