Papers
HeidelPlace: An Extensible Framework for Geoparsing
Ludwig Richter, Johanna Geiß, Andreas Spitz et al.
Herding by Caging: a Topological Approach towards Guiding Moving Agents via Mobile Robots
Anastasiia Varava, Kaiyu Hang, Danica Kragic et al.
Here’s My Point: Joint Pointer Architecture for Argument Mining
Peter Potash, Alexey Romanov, Anna Rumshisky
Heterogeneous Sensor Fusion for Accurate State Estimation of Dynamic Legged Robots
Simona Nobili, Marco Camurri, Victor Barasuol et al.
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Liyuan Liu, Xiang Ren, Qi Zhu et al.
Heuristic Online Goal Recognition in Continuous Domains
Mor Vered, Gal A. Kaminka
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment
Behrang QasemiZadeh, Laura Kallmeyer
HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods
Tobias Cabanski, Julia Romberg, Stefan Conrad
Hidden Layers in Perceptual Learning
Gad Cohen, Daphna Weinshall
Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery
Janek Ebbers, Jahn Heymann, Lukas Drude et al.
Hide-And-Seek: Forcing a Network to Be Meticulous for Weakly-Supervised Object and Action Localization
Krishna Kumar Singh, Yong Jae Lee
Hiding Images in Plain Sight: Deep Steganography
Shumeet Baluja
Hierarchical Attentive Recurrent Tracking
Adam Kosiorek, Alex Bewley, Ingmar Posner
Hierarchical Boundary-Aware Neural Encoder for Video Captioning
Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
Hierarchical Clustering Beyond the Worst-Case
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn
Hierarchical Clustering via Spreading Metrics
Aurko Roy, Sebastian Pokutta
Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization
Akshay Chandrashekaran, Ian Lane
Hierarchical Embeddings for Hypernymy Detection and Directionality
Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde et al.
Hierarchical Feature Selection with Recursive Regularization
Hong Zhao, Pengfei Zhu, Ping Wang et al.
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran, Rajesh Ranganath, David Blei
Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls
Atsushi Ando, Ryo Masumura, Hosana Kamiyama et al.
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Jingkuan Song, Lianli Gao, Zhao Guo et al.
Hierarchically-Attentive RNN for Album Summarization and Storytelling
Licheng Yu, Mohit Bansal, Tamara Berg
Hierarchically Compositional Kernels for Scalable Nonparametric Learning
Jie Chen, Haim Avron, Vikas Sindhwani
Hierarchically-partitioned Gaussian Process Approximation
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim