Application Areas

Online Forgetting Process for Linear Regression Models AISTATS 2021 Online Knowledge Distillation for Efficient Pose Estimation ICCV 2021 Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort ACL 2021 Online Multi-Granularity Distillation for GAN Compression ICCV 2021 Online Risk-Averse Submodular Maximization IJCAI 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification ICML 2021 On Releasing Annotator-Level Labels and Information in Datasets EMNLP 2021 On Robustness and Transferability of Convolutional Neural Networks CVPR 2021 On Self-Distilling Graph Neural Network IJCAI 2021 On the Difficulty of Membership Inference Attacks CVPR 2021 On the distribution of penultimate activations of classification networks UAI 2021 On the effects of quantisation on model uncertainty in Bayesian neural networks UAI 2021 On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021 On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR Interspeech 2021 On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets EACL 2021 On the Impact of Random Seeds on the Fairness of Clinical Classifiers NAACL 2021 On the Importance of Gradients for Detecting Distributional Shifts in the Wild NeurIPS 2021 On the (In)Effectiveness of Images for Text Classification EACL 2021 On the Intrinsic Differential Privacy of Bagging IJCAI 2021 On the Limits of Minimal Pairs in Contrastive Evaluation EMNLP 2021 On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation ICCV 2021 On the Predictability of Pruning Across Scales ICML 2021 On the Privacy Properties of GAN-generated Samples AISTATS 2021