Papers
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Lantao Yu, Tianhe Yu, Chelsea Finn et al.
Metalearned Neural Memory
Tsendsuren Munkhdalai, Alessandro Sordoni, TONG WANG et al.
Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
Meta-Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham M. Kakade et al.
Meta Learning with Relational Information for Short Sequences
Yujia Xie, Haoming Jiang, Feng Liu et al.
Metamers of neural networks reveal divergence from human perceptual systems
Jenelle Feather, Alex Durango, Ray Gonzalez et al.
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization
Shangyu Chen, Wenya Wang, Sinno Jialin Pan
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
Meta-Surrogate Benchmarking for Hyperparameter Optimization
Aaron Klein, Zhenwen Dai, Frank Hutter et al.
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Jun Shu, Qi Xie, Lixuan Yi et al.
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang et al.
Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov, Gleb Gusev
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Xiyang Liu, Sewoong Oh
Minimizers of the Empirical Risk and Risk Monotonicity
Marco Loog, Tom Viering, Alexander Mey
Minimum Stein Discrepancy Estimators
Alessandro Barp, Francois-Xavier Briol, Andrew Duncan et al.
Mining GOLD Samples for Conditional GANs
Sangwoo Mo, Chiheon Kim, Sungwoong Kim et al.
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song, Chenlin Meng, Stefano Ermon
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.
Möbius Transformation for Fast Inner Product Search on Graph
Zhixin Zhou, Shulong Tan, Zhaozhuo Xu et al.
Model Compression with Adversarial Robustness: A Unified Optimization Framework
Shupeng Gui, Haotao Wang, Haichuan Yang et al.
Modeling Conceptual Understanding in Image Reference Games
Rodolfo Corona Rodriguez, Stephan Alaniz, Zeynep Akata
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba et al.
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
Kevin Smith, Lingjie Mei, Shunyu Yao et al.