Self-Supervised Graph Transformer on Large-Scale Molecular Data
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2021 |
Rong, Yu |
Contrastive learning of global and local features for medical image segmentation with limited annotations
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2021 |
Chaitanya, Krishna |
How many samples is a good initial point worth in Low-rank Matrix Recovery?
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2021 |
Zhang, Jialun |
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time
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2021 |
Li, Jerry |
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
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2021 |
Nielsen, Didrik |
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
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2021 |
Monteiro, Miguel |
Practical No-box Adversarial Attacks against DNNs
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2021 |
Li, Qizhang |
Sample complexity and effective dimension for regression on manifolds
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2021 |
McRae, Andrew |
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
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2021 |
Fang, Tao |
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network
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2021 |
Shen, Lifeng |
Self-Learning Transformations for Improving Gaze and Head Redirection
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2021 |
Zheng, Yufeng |
Exemplar Guided Active Learning
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2021 |
Hartford, Jason S |
Reliable Graph Neural Networks via Robust Aggregation
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2021 |
Geisler, Simon |
Instance Selection for GANs
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2021 |
DeVries, Terrance |
Sample Complexity of Uniform Convergence for Multicalibration
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2021 |
Shabat, Eliran |
The interplay between randomness and structure during learning in RNNs
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2021 |
Schuessler, Friedrich |
Dynamic Regret of Convex and Smooth Functions
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2021 |
Zhao, Peng |
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
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2021 |
GonzalezBello, Juan Luis |
Learning Causal Effects via Weighted Empirical Risk Minimization
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2021 |
Jung, Yonghan |
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
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2021 |
Khemakhem, Ilyes |