Papers
Semi-Amortized Variational Autoencoders
Yoon Kim, Sam Wiseman, Andrew Miller et al.
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim, Martin Wattenberg, Justin Gilmer et al.
Self-Bounded Prediction Suffix Tree via Approximate String Matching
Dongwoo Kim, Christian Walder
Disentangling by Factorising
Hyunjik Kim, Andriy Mnih
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adria Gascon, Matt Kusner et al.
Geometry Score: A Method For Comparing Generative Adversarial Networks
Valentin Khrulkov, Ivan Oseledets
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Khan, Didrik Nielsen, Voot Tangkaratt et al.
Convergence guarantees for a class of non-convex and non-smooth optimization problems
Koulik Khamaru, Martin Wainwright
Frank-Wolfe with Subsampling Oracle
Thomas Kerdreux, Fabian Pedregosa, Alexandre d’Aspremont
ContextNet: Deep learning for Star Galaxy Classification
Noble Kennamer, David Kirkby, Alexander Ihler et al.
Improved nearest neighbor search using auxiliary information and priority functions
Omid Keivani, Kaushik Sinha
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns, Seth Neel, Aaron Roth et al.
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni et al.
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints
Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi
Feasible Arm Identification
Julian Katz-Samuels, Clay Scott
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos, Francois Fleuret
Riemannian Stochastic Recursive Gradient Algorithm
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
LaVAN: Localized and Visible Adversarial Noise
Danny Karmon, Daniel Zoran, Yoav Goldberg
Continual Reinforcement Learning with Complex Synapses
Christos Kaplanis, Murray Shanahan, Claudia Clopath
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
Ehsan Asadi Kangarshahi, Ya-Ping Hsieh, Mehmet Fatih Sahin et al.
Improving Sign Random Projections With Additional Information
Keegan Kang, Weipin Wong
Policy Optimization with Demonstrations
Bingyi Kang, Zequn Jie, Jiashi Feng
Semi-Supervised Learning via Compact Latent Space Clustering
Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc et al.
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
Ashwin Kalyan, Stefan Lee, Anitha Kannan et al.