Papers
Machine Translation for Machines: the Sentiment Classification Use Case
Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri et al.
Machine Translation for Machines: the Sentiment Classification Use Case
Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri et al.
Machine Translation from an Intercomprehension Perspective
Yu Chen, Tania Avgustinova
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness
Alexandre Berard, Ioan Calapodescu, Marc Dymetman et al.
Machine Translation With Weakly Paired Documents
Lijun Wu, Jinhua Zhu, Di He et al.
Machine Translation With Weakly Paired Documents
Lijun Wu, Jinhua Zhu, Di He et al.
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Zihao Liu, Xiaowei Xu, Tao Liu et al.
MaCow: Masked Convolutional Generative Flow
Xuezhe Ma, Xiang Kong, Shanghang Zhang et al.
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
Yuchen Xiao, Joshua Hoffman, Christopher Amato
Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses
Jakob Prange, Nathan Schneider, Omri Abend
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma, Chunting Zhou, Eduard Hovy
MAGSAC: Marginalizing Sample Consensus
Daniel Barath, Jiri Matas, Jana Noskova
MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
Tathagata Chakraborti, Christian Muise, Shubham Agarwal et al.
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Shengju Qian, Kwan-Yee Lin, Wayne Wu et al.
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Guan, Gregory Valiant et al.
Making Asynchronous Stochastic Gradient Descent Work for Transformers
Alham Fikri Aji, Kenneth Heafield
Making Convolutional Networks Shift-Invariant Again
Richard Zhang
Making Decisions that Reduce Discriminatory Impacts
Matt Kusner, Chris Russell, Joshua Loftus et al.
Making Deep Q-learning methods robust to time discretization
Corentin Tallec, Léonard Blier, Yann Ollivier
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk et al.
Making History Matter: History-Advantage Sequence Training for Visual Dialog
Tianhao Yang, Zheng-Jun Zha, Hanwang Zhang
Making Money from What You Know - How to Sell Information?
Shani Alkoby, Zihe Wang, David Sarne et al.
Making the Cut: A Bandit-based Approach to Tiered Interviewing
Candice Schumann, Zhi Lang, Jeffrey Foster et al.
Making the Invisible Visible: Action Recognition Through Walls and Occlusions
Tianhong Li, Lijie Fan, Mingmin Zhao et al.