Papers
Curvilinear Distance Metric Learning
Shuo Chen, Lei Luo, Jian Yang et al.
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
Meelis Kull, Miquel Perello Nieto, Markus Kängsepp et al.
Triad Constraints for Learning Causal Structure of Latent Variables
Ruichu Cai, Feng Xie, Clark Glymour et al.
Efficient Meta Learning via Minibatch Proximal Update
Pan Zhou, Xiaotong Yuan, Huan Xu et al.
End to end learning and optimization on graphs
Bryan Wilder, Eric Ewing, Bistra Dilkina et al.
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez, Lalit Jain, Kevin G. Jamieson et al.
Strategizing against No-regret Learners
Yuan Deng, Jon Schneider, Balasubramanian Sivan
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
David Novotny, Ben Graham, Jeremy Reizenstein
Hierarchical Optimal Transport for Document Representation
Mikhail Yurochkin, Sebastian Claici, Edward Chien et al.
Discriminator optimal transport
Akinori Tanaka
Same-Cluster Querying for Overlapping Clusters
Wasim Huleihel, Arya Mazumdar, Muriel Medard et al.
Connective Cognition Network for Directional Visual Commonsense Reasoning
Aming Wu, Linchao Zhu, Yahong Han et al.
Learning from Bad Data via Generation
Tianyu Guo, Chang Xu, Boxin Shi et al.
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
Yilun Xu, Peng Cao, Yuqing Kong et al.
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
Pratyusha Sharma, Deepak Pathak, Abhinav Gupta
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu, Shie Mannor, Huan Xu et al.
Blocking Bandits
Soumya Basu, Rajat Sen, Sujay Sanghavi et al.
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
Krzysztof M Choromanski, Aldo Pacchiano, Jack Parker-Holder et al.
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
Ali Kavis, Kfir Y. Levy, Francis Bach et al.
Accurate, reliable and fast robustness evaluation
Wieland Brendel, Jonas Rauber, Matthias Kümmerer et al.
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Ke Wang, Hang Hua, Xiaojun Wan
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
Aditya Sharad Golatkar, Alessandro Achille, Stefano Soatto
MetaInit: Initializing learning by learning to initialize
Yann N. Dauphin, Samuel Schoenholz
Learning Hawkes Processes from a handful of events
Farnood Salehi, William Trouleau, Matthias Grossglauser et al.
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Colin Wei, Jason Lee, Qiang Liu et al.