Papers
11,015 papers found
Memory-Based Graph Networks
Amir Hosein Khasahmadi, Kaveh Hassani, Parsa Moradi et al.
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin et al.
Meta Dropout: Learning to Perturb Latent Features for Generalization
Hae Beom Lee, Taewook Nam, Eunho Yang et al.
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer et al.
Meta-learning curiosity algorithms
Ferran Alet*, Martin F. Schneider*, Tomas Lozano-Perez et al.
Meta-Learning Deep Energy-Based Memory Models
Sergey Bartunov, Jack Rae, Simon Osindero et al.
Meta-Learning without Memorization
Mingzhang Yin, George Tucker, Mingyuan Zhou et al.
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu et al.
MetaPix: Few-Shot Video Retargeting
Jessica Lee, Deva Ramanan, Rohit Girdhar
Meta-Q-Learning
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto et al.
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
Sungryull Sohn, Hyunjae Woo, Jongwook Choi et al.
Minimizing FLOPs to Learn Efficient Sparse Representations
Biswajit Paria, Chih-Kuan Yeh, Ian E.H. Yen et al.
Mirror-Generative Neural Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang et al.
Mixed-curvature Variational Autoencoders
Ondrej Skopek, Octavian-Eugen Ganea, Gary Bécigneul
Mixed Precision DNNs: All you need is a good parametrization
Stefan Uhlich, Lukas Mauch, Fabien Cardinaux et al.
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Tianyu Pang*, Kun Xu*, Jun Zhu
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui et al.
Model-Augmented Actor-Critic: Backpropagating through Paths
Ignasi Clavera, Yao Fu, Pieter Abbeel
Model Based Reinforcement Learning for Atari
Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłos et al.
Model-based reinforcement learning for biological sequence design
Christof Angermueller, David Dohan, David Belanger et al.
Mogrifier LSTM
Gábor Melis, Tomáš Kočiský, Phil Blunsom
Monotonic Multihead Attention
Xutai Ma, Juan Miguel Pino, James Cross et al.
Multi-Agent Interactions Modeling with Correlated Policies
Minghuan Liu, Ming Zhou, Weinan Zhang et al.
Multi-agent Reinforcement Learning for Networked System Control
Tianshu Chu, Sandeep Chinchali, Sachin Katti