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Papers

224,410 papers found · incl. 25,406 awaiting a processed abstract Focus on papers with abstracts
Language to Logical Form with Neural Attention
Li Dong, Mirella Lapata
2016 ACL
Inferring Logical Forms From Denotations
Panupong Pasupat, Percy Liang
2016 ACL
Data Recombination for Neural Semantic Parsing
Robin Jia, Percy Liang
2016 ACL
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing
James Goodman, Andreas Vlachos, Jason Naradowsky
2016 ACL
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Katrin Erk, Noah A. Smith
2016 ACL
Parameter-Free Convex Learning through Coin Betting
Francesco Orabona, Dávid Pál
2016 AutoML
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning
Randal S. Olson, Jason H. Moore
2016 AutoML
Towards Automatically-Tuned Neural Networks
Hector Mendoza, Aaron Klein, Matthias Feurer et al.
2016 AutoML
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
2016 AutoML
Bayesian optimization for automated model selection
Gustavo Malkomes, Chip Schaff, Roman Garnett
2016 AutoML
Scalable Structure Discovery in Regression using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
2016 AutoML
A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante et al.
2016 AutoML
A Strategy for Ranking Optimization Methods using Multiple Criteria
Ian Dewancker, Michael McCourt, Scott Clark et al.
2016 AutoML
Effect of Incomplete Meta-dataset on Average Ranking Method
Salisu Mamman Abdulrahman, Pavel Brazdil
2016 AutoML
Minimizing Quadratic Functions in Constant Time
Kohei Hayashi, Yuichi Yoshida
2016 NeurIPS
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Hao Wang, Xingjian SHI, Dit-Yan Yeung
2016 NeurIPS
Generating Long-term Trajectories Using Deep Hierarchical Networks
Stephan Zheng, Yisong Yue, Jennifer Hobbs
2016 NeurIPS
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed M. Alaa, Mihaela van der Schaar
2016 NeurIPS
General Tensor Spectral Co-clustering for Higher-Order Data
Tao Wu, Austin R Benson, David F Gleich
2016 NeurIPS
Optimal Learning for Multi-pass Stochastic Gradient Methods
Junhong Lin, Lorenzo Rosasco
2016 NeurIPS
Visual Question Answering with Question Representation Update (QRU)
Ruiyu Li, Jiaya Jia
2016 NeurIPS
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions
Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal et al.
2016 NeurIPS
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
2016 NeurIPS
Human Decision-Making under Limited Time
Pedro A Ortega, Alan Stocker
2016 NeurIPS
Fast Active Set Methods for Online Spike Inference from Calcium Imaging
Johannes Friedrich, Liam Paninski
2016 NeurIPS