Papers
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao, Yu Wang, Ying Wei et al.
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu, Wenkai Xu, Jie Lu et al.
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeonjin Park, Seunghun Lee, Sihyeon Kim et al.
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Elias Frantar, Eldar Kurtic, Dan Alistarh
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden et al.
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou, Adhi Kuncoro, Elena Gribovskaya et al.
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
Andreis Bruno, Jeffrey Willette, Juho Lee et al.
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo et al.
Minimax Regret for Stochastic Shortest Path
Alon Cohen, Yonathan Efroni, Yishay Mansour et al.
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
Liwang Zhu, Qi Bao, Zhongzhi Zhang
Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang, Yue Liao, Si Liu et al.
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono, Yao Zhang, Alexis Bellot et al.
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic, Andreas Krause
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
Jonathan Chang, Masatoshi Uehara, Dhruv Sreenivas et al.
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
Haiyan Yin, peng yang, Ping Li
Mixability made efficient: Fast online multiclass logistic regression
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Awais Muhammad, Fengwei Zhou, Chuanlong Xie et al.
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
Yan Liu, Zhijie Zhang, Li Niu et al.
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu, Ziqi Liu, Ge Jin et al.
Mixture Proportion Estimation and PU Learning:A Modern Approach
Saurabh Garg, Yifan Wu, Alexander J Smola et al.
Mixture weights optimisation for Alpha-Divergence Variational Inference
Kamélia Daudel, randal douc
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov et al.
MobILE: Model-Based Imitation Learning From Observation Alone
Rahul Kidambi, Jonathan Chang, Wen Sun