Papers
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner, Alexander Irpan, James Davidson et al.
Learning High Dynamic Range From Outdoor Panoramas
Jinsong Zhang, Jean-Francois Lalonde
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
Guansong Pang, Longbing Cao, Ling Chen et al.
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold et al.
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
Nishant Shukla, Yunzhong He, Frank Chen et al.
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal, Jean Honorio
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht, Iro Laina, Robert DiPietro et al.
Learning Infinite Layer Networks Without the Kernel Trick
Roi Livni, Daniel Carmon, Amir Globerson
Learning in POMDPs with Monte Carlo Tree Search
Sammie Katt, Frans A. Oliehoek, Christopher Amato
Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions
Ricardo Silva, Shohei Shimizu
Learning Kernels over Strings using Gaussian Processes
Daniel Beck, Trevor Cohn
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
Learning Language Representations for Typology Prediction
Chaitanya Malaviya, Graham Neubig, Patrick Littell
Learning Latent Representations for Speech Generation and Transformation
Wei-Ning Hsu, Yu Zhang, James Glass
Learning Latent Space Models with Angular Constraints
Pengtao Xie, Yuntian Deng, Yi Zhou et al.
Learning Latest Classifiers without Additional Labeled Data
Atsutoshi Kumagai, Tomoharu Iwata
Learning Lexico-Functional Patterns for First-Person Affect
Lena Reed, Jiaqi Wu, Shereen Oraby et al.
Learning Linear Dynamical Systems via Spectral Filtering
Elad Hazan, Karan Singh, Cyril Zhang
Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text
Desh Raj, Sunil Sahu, Ashish Anand
Learning Local Dependence In Ordered Data
Guo Yu, Jacob Bien
Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network
Yemin Shi, Yonghong Tian, Yaowei Wang et al.
Learning Low-Dimensional Metrics
Blake Mason, Lalit Jain, Robert Nowak
Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations
Hadi Ravanbakhsh, Sriram Sankaranarayanan