Papers
Learning to Optimize Tensor Programs
Tianqi Chen, Lianmin Zheng, Eddie Yan et al.
Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou et al.
Learning to Play With Intrinsically-Motivated, Self-Aware Agents
Nick Haber, Damian Mrowca, Stephanie Wang et al.
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
Lingzhen Chen, Alessandro Moschitti
Learning to Promote Saliency Detectors
Yu Zeng, Huchuan Lu, Lihe Zhang et al.
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering
Seunghyun Yoon, Joongbo Shin, Kyomin Jung
Learning to Reason with Third Order Tensor Products
Imanol Schlag, Jürgen Schmidhuber
Learning to Recognize Transient Sound Events using Attentional Supervision
Szu-Yu Chou, Jyh-Shing Jang, Yi-Hsuan Yang
Learning to Reconstruct Shapes from Unseen Classes
Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang et al.
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Jacob Harer, Onur Ozdemir, Tomo Lazovich et al.
Learning to Represent Programs with Graphs
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren, Wenyuan Zeng, Bin Yang et al.
Learning to Round for Discrete Labeling Problems
Pritish Mohapatra, Jawahar C.V., M Pawan Kumar
Learning to Search in Long Documents Using Document Structure
Mor Geva, Jonathan Berant
Learning to search with MCTSnets
Arthur Guez, Theophane Weber, Ioannis Antonoglou et al.
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu et al.
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He et al.
Learning to Segment Inputs for NMT Favors Character-Level Processing
Julia Kreutzer, Artem Sokolov
Learning to Share and Hide Intentions using Information Regularization
DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum et al.
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
Dejiao Zhang, Haozhu Wang, Mario Figueiredo et al.
Learning to Sketch With Shortcut Cycle Consistency
Jifei Song, Kaiyue Pang, Yi-Zhe Song et al.
Learning to Solve SMT Formulas
Mislav Balunovic, Pavol Bielik, Martin Vechev
Learning to Specialize with Knowledge Distillation for Visual Question Answering
Jonghwan Mun, Kimin Lee, Jinwoo Shin et al.
Learning to Speed Up Structured Output Prediction
Xingyuan Pan, Vivek Srikumar
Learning To Split and Rephrase From Wikipedia Edit History
Jan A. Botha, Manaal Faruqui, John Alex et al.