On the Power of Louvain in the Stochastic Block Model
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2021 |
Cohen-Addad, Vincent |
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
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2021 |
Oroojlooy, Afshin |
Searching for Low-Bit Weights in Quantized Neural Networks
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2021 |
Yang, Zhaohui |
Predictive inference is free with the jackknife+-after-bootstrap
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2021 |
Kim, Byol |
Balanced Meta-Softmax for Long-Tailed Visual Recognition
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2021 |
Ren, Jiawei |
Learning Loss for Test-Time Augmentation
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2021 |
Kim, Ildoo |
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
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2021 |
Balakrishnan, Sreejith |
On the Error Resistance of Hinge-Loss Minimization
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2021 |
Talwar, Kunal |
Munchausen Reinforcement Learning
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2021 |
Vieillard, Nino |
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations
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2021 |
Farquhar, Sebastian |
Low Distortion Block-Resampling with Spatially Stochastic Networks
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2021 |
Hong, Sarah |
Probabilistic Time Series Forecasting with Shape and Temporal Diversity
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2021 |
LE GUEN, Vincent |
Unsupervised Learning of Dense Visual Representations
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2021 |
O. Pinheiro, Pedro O |
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
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2021 |
Tashiro, Yusuke |
Privacy Amplification via Random Check-Ins
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2021 |
Balle, Borja |
Efficient Low Rank Gaussian Variational Inference for Neural Networks
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2021 |
Tomczak, Marcin |
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
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2021 |
Venkat, Naveen |
Labelling unlabelled videos from scratch with multi-modal self-supervision
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2021 |
Asano, Yuki |
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
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2021 |
Mallis, Dimitrios |
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
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2021 |
Heskes, Tom |