Deep Learning

BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders AISTATS 2020 BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning ICLR 2020 Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks NeurIPS 2020 Batch normalization provably avoids ranks collapse for randomly initialised deep networks NeurIPS 2020 Batch norm with entropic regularization turns deterministic autoencoders into generative models UAI 2020 Batch-shaping for learning conditional channel gated networks ICLR 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020 Bayesian Attention Modules NeurIPS 2020 Bayesian Bits: Unifying Quantization and Pruning NeurIPS 2020 Bayesian Deep Learning and a Probabilistic Perspective of Generalization NeurIPS 2020 Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020 Bayesian Hierarchical Words Representation Learning ACL 2020 Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020 Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping MIDL 2020 Bayesian Methods for Semi-supervised Text Annotation COLING 2020 Bayesian Sparsification of Deep C-valued Networks ICML 2020 BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition CVPR 2020 BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning CVPR 2020 BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image CVPR 2020 BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection ACL 2020 Being Bayesian about Categorical Probability ICML 2020 Being neighbourly: Neural metaphor identification in discourse ACL 2020 Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CoRL 2020 Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems CVPR 2020