Papers
Submodel Decomposition Bounds for Influence Diagrams
Junkyu Lee, Radu Marinescu, Rina Dechter
Submodular Span, with Applications to Conditional Data Summarization
Lilly Kumari, Jeff Bilmes
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sijie He, Xinyan Li, Timothy DelSole et al.
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Xiaofeng Liu, Xiongchang Liu, Bo Hu et al.
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
Kang Liu, Benjamin Tan, Siddharth Garg
Successive Halving Top-k Operator
Michał Pietruszka, Łukasz Borchmann, Filip Graliński
Successor Feature Sets: Generalizing Successor Representations Across Policies
Kianté Brantley, Soroush Mehri, Geoff J. Gordon
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
Andras Gabor Kupcsik, Markus Spies, Alexander Klein et al.
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Ardavan Afshar, Kejing Yin, Sherry Yan et al.
Symbolic Music Generation with Transformer-GANs
Aashiq Muhamed, Liang Li, Xingjian Shi et al.
Symbolic Search for Optimal Total-Order HTN Planning
Gregor Behnke, David Speck
Symbolic Search for Oversubscription Planning
David Speck, Michael Katz
Symmetric Component Caching for Model Counting on Combinatorial Instances
Timothy van Bremen, Vincent Derkinderen, Shubham Sharma et al.
Symmetry Breaking for k-Robust Multi-Agent Path Finding
Zhe Chen, Daniel D. Harabor, Jiaoyang Li et al.
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms
Daniel J. Rosenkrantz, Madhav Marathe, S. S. Ravi et al.
Synchronous Interactive Decoding for Multilingual Neural Machine Translation
Hao He, Qian Wang, Zhipeng Yu et al.
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Longyuan Li, Jihai Zhang, Junchi Yan et al.
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
Andrea Micheli, Alessandro Valentini
TabNet: Attentive Interpretable Tabular Learning
Sercan Ö. Arik, Tomas Pfister
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Qizhou Wang, Bo Han, Tongliang Liu et al.
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors
Su Lu, Han-Jia Ye, De-Chuan Zhan
TAILOR: Teaching with Active and Incremental Learning for Object Registration
Qianli Xu, Nicolas Gauthier, Wenyu Liang et al.
TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis
Jing-Xuan Zhang, Korin Richmond, Zhen-Hua Ling et al.
Targeted Negative Campaigning: Complexity and Approximations
Avishai Zagoury, Orgad Keller, Avinatan Hassidim et al.
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli