| The Bures Metric for Generative Adversarial Networks
|
2021 |
Meulemeester, Hannes De |
| GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
|
2021 |
Bhatia, Siddharth |
| Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty
|
2021 |
Bütepage, Judith |
| CycleGAN Through the Lens of (Dynamical) Optimal Transport
|
2021 |
Bézenac, Emmanuel de |
| Learning from Noisy Similar and Dissimilar Data
|
2021 |
Dan, Soham |
| Disparity Between Batches as a Signal for Early Stopping
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2021 |
Forouzesh, Mahsa |
| Knowledge Distillation with Distribution Mismatch
|
2021 |
Nguyen, Dang |
| Inter-domain Multi-relational Link Prediction
|
2021 |
Phuc, Luu Huu |
| Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation
|
2021 |
Zhuang, YuanXin |
| Probing Negative Sampling for Contrastive Learning to Learn Graph Representations
|
2021 |
Chen, Shiyi |
| Representation Learning on Multi-layered Heterogeneous Network
|
2021 |
Zhang, Delvin Ce |
| Adaptive Node Embedding Propagation for Semi-supervised Classification
|
2021 |
Ogawa, Yuya |
| Reconnaissance for Reinforcement Learning with Safety Constraints
|
2021 |
Maeda, Shin-ichi |
| Causal Explanation of Convolutional Neural Networks
|
2021 |
Debbi, Hichem |
| Consequence-Aware Sequential Counterfactual Generation
|
2021 |
Naumann, Philip |
| Privacy Amplification via Iteration for Shuffled and Online PNSGD
|
2021 |
Sordello, Matteo |
| Learning Unbiased Representations via Rényi Minimization
|
2021 |
Grari, Vincent |
| Variational Hyper-encoding Networks
|
2021 |
Nguyen, Phuoc |
| Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
|
2021 |
Viallard, Paul |
| Decoupling Sparsity and Smoothness in Dirichlet Belief Networks
|
2021 |
Li, Yaqiong |
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