Papers
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Yunsheng Bai, Hao Ding, Ken Gu et al.
A Three-Level Optimization Model for Nonlinearly Separable Clustering
Liang Bai, Jiye Liang
Few Shot Network Compression via Cross Distillation
Haoli Bai, Jiaxiang Wu, Irwin King et al.
Efficient Inference of Optimal Decision Trees
Florent Avellaneda
Kriging Convolutional Networks
Gabriel Appleby, Linfeng Liu, Li-Ping Liu
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
Ehsan Amid, Manfred K. Warmuth
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
Albert Akhriev, Jakub Marecek, Andrea Simonetto
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka et al.
Detecting Semantic Anomalies
Faruk Ahmed, Aaron Courville
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search
Gaël Aglin, Siegfried Nijssen, Pierre Schaus
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
Abhijin Adiga, Chris Kuhlman, Madhav Marathe et al.
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty et al.
Image-Adaptive GAN Based Reconstruction
Shady Abu Hussein, Tom Tirer, Raja Giryes
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
Afshin Abdi, Faramarz Fekri
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
Afshin Abdi, Faramarz Fekri
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz
LTLƒ Synthesis with Fairness and Stability Assumptions
Shufang Zhu, Giuseppe De Giacomo, Geguang Pu et al.
Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution
Sen Zheng, Renate Schmidt
A Practical Approach to Forgetting in Description Logics with Nominals
Yizheng Zhao, Renate Schmidt, Yuejie Wang et al.
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang et al.
On the Expressivity of ASK Queries in SPARQL
Xiaowang Zhang, Jan Van den Bussche, Kewen Wang et al.
Towards Universal Languages for Tractable Ontology Mediated Query Answering
Heng Zhang, Yan Zhang, Jia-Huai You et al.
Few-Shot Knowledge Graph Completion
Chuxu Zhang, Huaxiu Yao, Chao Huang et al.
Ranking-Based Semantics for Sets of Attacking Arguments
Bruno Yun, Srdjan Vesic, Madalina Croitoru