Papers
UMDuluth-CS8761 at SemEval-2018 Task9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings
Arshia Zernab Hassan, Manikya Swathi Vallabhajosyula, Ted Pedersen
UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones
Ignacio Arroyo-Fernández, Ivan Meza, Carlos-Francisco Méndez-Cruz
Unary Integer Linear Programming with Structural Restrictions
Eduard Eiben, Robert Ganian, Dušan Knop et al.
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
Unbiased Objective Estimation in Predictive Optimization
Shinji Ito, Akihiro Yabe, Ryohei Fujimaki
Unbiased Online Recurrent Optimization
Corentin Tallec, Yann Ollivier
UNBNLP at SemEval-2018 Task 10: Evaluating unsupervised approaches to capturing discriminative attributes
Milton King, Ali Hakimi Parizi, Paul Cook
Uncalibrated Photometric Stereo Under Natural Illumination
Zhipeng Mo, Boxin Shi, Feng Lu et al.
UNCC QA: Biomedical Question Answering system
Abhishek Bhandwaldar, Wlodek Zadrozny
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo, Hae Beom Lee, Saehoon Kim et al.
Uncertainty-aware generative models for inferring document class prevalence
Katherine Keith, Brendan O’Connor
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg, Ozgun Cicek, Silvio Galesso et al.
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision
Hanmo Wang, Xiaojun Chang, Lei Shi et al.
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss
Stephen Mussmann, Percy Liang
Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search
Maximilian Fickert, Daniel Gnad, Joerg Hoffmann
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Massil Achab, Emmanuel Bacry, Stéphane Gaïffas et al.
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta, Pabitra Lenka, Asif Ekbal et al.
Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation
Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio et al.
Underdamped Langevin MCMC: A non-asymptotic analysis
Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett et al.
Understanding and Simplifying One-Shot Architecture Search
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph et al.
Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli et al.
Understanding Batch Normalization
Nils Bjorck, Carla P. Gomes, Bart Selman et al.
Understanding Convolutional Neural Networks for Text Classification
Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai et al.
Understanding Deep Neural Networks with Rectified Linear Units
Raman Arora, Amitabh Basu, Poorya Mianjy et al.