Papers
Misleading Failures of Partial-input Baselines
Shi Feng, Eric Wallace, Jordan Boyd-Graber
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images
Huan Wang, Luping Zhou, Lei Wang
Misspelling Oblivious Word Embeddings
Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski et al.
Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances
Diane Bouchacourt, Marco Baroni
Mitigating Gender and L1 Differences to Improve State and Trait Recognition
Guozhen An, Rivka Levitan
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang et al.
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
Proteek Chandan Roy, Vishnu Naresh Boddeti
Mitigating Noisy Inputs for Question Answering
Denis Peskov, Joe Barrow, Pedro Rodriguez et al.
Mitigating Uncertainty in Document Classification
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu et al.
MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection
Abigail Gertner, John Henderson, Elizabeth Merkhofer et al.
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
Pierre-Alexandre Mattei, Jes Frellsen
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation
Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh
Mixed High-Order Attention Network for Person Re-Identification
Binghui Chen, Weihong Deng, Jiani Hu
Mixed Multi-Head Self-Attention for Neural Machine Translation
Hongyi Cui, Shohei Iida, Po-Hsuan Hung et al.
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics
Meghyn Bienvenu, Pierre Bourhis
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor et al.
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
Oren Mangoubi, Aaron Smith
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow et al.
Mixtape: Breaking the Softmax Bottleneck Efficiently
Zhilin Yang, Thang Luong, Ruslan Salakhutdinov et al.
Mixture Content Selection for Diverse Sequence Generation
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
Mixture Content Selection for Diverse Sequence Generation
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
Mixture Density Generative Adversarial Networks
Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
Mixture-Kernel Graph Attention Network for Situation Recognition
Mohammed Suhail, Leonid Sigal
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen, Myle Ott, Michael Auli et al.