Papers
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Fengwei Zhou, Jiawei Li, Chuanlong Xie et al.
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan, Xuebo Liu, Derek F. Wong et al.
Meta Label Correction for Noisy Label Learning
Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais
Meta-Learning Effective Exploration Strategies for Contextual Bandits
Amr Sharaf, Hal Daumé III
Meta Learning for Causal Direction
Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados et al.
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen, Hong-Han Shuai
Metrics and Continuity in Reinforcement Learning
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
Yang Li, Yu Shen, Jiawei Jiang et al.
MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems
Xuan Dong, Xiaoyan Hu, Weixin Li et al.
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
Tianfan Fu, Cao Xiao, Xinhao Li et al.
Mind the Gap: Cake Cutting With Separation
Edith Elkind, Erel Segal-Halevi, Warut Suksompong
Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
Qingchao Chen, Yang Liu, Samuel Albanie
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
Marc Rigter, Bruno Lacerda, Nick Hawes
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur et al.
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels
Siqi Yang, Jun Zhang, Junzhou Huang et al.
Minimum Robust Multi-Submodular Cover for Fairness
Lan N. Nguyen, My T. Thai
Mining EL Bases with Adaptable Role Depth
Ricardo Guimarães, Ana Ozaki, Cosimo Persia et al.
Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract)
Vishal Vinod, Vipul Gaurav, Tushar Sharma et al.
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu, Yun Liu, Shijie Li et al.
Mitigating Political Bias in Language Models through Reinforced Calibration
Ruibo Liu, Chenyan Jia, Jason Wei et al.
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling
Sean Welleck, Kyunghyun Cho
MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract)
Nan Xie, Yuexian Hou
MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts
Qian-Wen Zhang, Zhao Yan, Tianyang Zhao et al.
Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia
Hongchao Jiang, Yanci Zhang, Zhiwei Zeng et al.