Papers
Learning and Communicating the Latent States of Human-Machine Collaboration
Vaibhav V. Unhelkar, Julie A. Shah
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko et al.
Learning and Inference in Hilbert Space with Quantum Graphical Models
Siddarth Srinivasan, Carlton Downey, Byron Boots
Learning and Memorization
Satrajit Chatterjee
Learning and Modeling Unit Embeddings for Improving HMM-based Unit Selection Speech Synthesis
Xiao Zhou, Zhen-Hua Ling, Zhi-Ping Zhou et al.
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis et al.
Learning and Using the Arrow of Time
Donglai Wei, Joseph J. Lim, Andrew Zisserman et al.
Learning an Embedding Space for Transferable Robot Skills
Karol Hausman, Jost Tobias Springenberg, Ziyu Wang et al.
Learning a neural response metric for retinal prosthesis
Nishal P Shah, Sasidhar Madugula, EJ Chichilnisky et al.
Learning Answer Embeddings for Visual Question Answering
Hexiang Hu, Wei-Lun Chao, Fei Sha
Learning a Policy for Opportunistic Active Learning
Aishwarya Padmakumar, Peter Stone, Raymond Mooney
Learning Approximate Inference Networks for Structured Prediction
Lifu Tu, Kevin Gimpel
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Kai Zhang, Wangmeng Zuo, Lei Zhang
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
Qiang Wang, Zhu Teng, Junliang Xing et al.
Learning Attractor Dynamics for Generative Memory
Yan Wu, Gregory Wayne, Karol Gregor et al.
Learning Attribute Representations With Localization for Flexible Fashion Search
Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim et al.
Learning Audio Feedback for Estimating Amount and Flow of Granular Material
Samuel Clarke, Travers Rhodes, Christopher G. Atkeson et al.
Learning Awareness Models
Brandon Amos, Laurent Dinh, Serkan Cabi et al.
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
Abubakar Abid, James Y Zou
Learning-based Composite Metrics for Improved Caption Evaluation
Naeha Sharif, Lyndon White, Mohammed Bennamoun et al.
Learning Bayesian network classifiers with completed partially directed acyclic graphs
Bojan Mihaljević, Concha Bielza, Pedro Larrañaga
Learning Bayesian Networks by Branching on Constraints
Thijs van Ommen
Learning Beam Search Policies via Imitation Learning
Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon
Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin, Ethan Hart, Vibhuti Mahajan et al.