Papers
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov et al.
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando, Jose A Rodriguez, Jordi Vitria et al.
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Shuyue Hu, Chin-wing Leung, Ho-fung Leung
Model Selection for Contextual Bandits
Dylan J Foster, Akshay Krishnamurthy, Haipeng Luo
Model Similarity Mitigates Test Set Overuse
Horia Mania, John Miller, Ludwig Schmidt et al.
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
Elliot Meyerson, Risto Miikkulainen
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky, Francesco Orabona
MonoForest framework for tree ensemble analysis
Igor Kuralenok, Vasilii Ershov, Igor Labutin
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne et al.
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
Samuel Ainsworth, Matt Barnes, Siddhartha Srinivasa
Multi-Agent Common Knowledge Reinforcement Learning
Christian Schroeder de Witt, Jakob Foerster, Gregory Farquhar et al.
Multiagent Evaluation under Incomplete Information
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls et al.
Multiclass Learning from Contradictions
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
Multiclass Performance Metric Elicitation
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta et al.
Multi-Criteria Dimensionality Reduction with Applications to Fairness
Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh et al.
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Xuesong Niu, Hu Han, Shiguang Shan et al.
Multilabel reductions: what is my loss optimising?
Aditya K Menon, Ankit Singh Rawat, Sashank Reddi et al.
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu, Yuanqi Chen, Shan Liu et al.
Multi-marginal Wasserstein GAN
Jiezhang Cao, Langyuan Mo, Yifan Zhang et al.
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio, Shao-Hua Sun, Hexiang Hu et al.
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah, Alistair Shilton, Santu Rana et al.
Multi-objects Generation with Amortized Structural Regularization
Taufik Xu, Chongxuan LI, Jun Zhu et al.
Multiple Futures Prediction
Charlie Tang, Ruslan Salakhutdinov
Multi-relational Poincaré Graph Embeddings
Ivana Balazevic, Carl Allen, Timothy Hospedales
Multi-resolution Multi-task Gaussian Processes
Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang et al.