Models

Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021 Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization NAACL 2021 Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories EMNLP 2021 MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces AAAI 2021 MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement ICCV 2021 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning ICLR 2021 Meta Internal Learning NeurIPS 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Metaphor Generation with Conceptual Mappings ACL 2021 MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement Interspeech 2021 Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021 Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models ICLR 2021 MINE: Towards Continuous Depth MPI With NeRF for Novel View Synthesis ICCV 2021 MIROSTAT: A NEURAL TEXT DECODING ALGORITHM THAT DIRECTLY CONTROLS PERPLEXITY ICLR 2021 Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021 Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT EMNLP 2021 Mixture weights optimisation for Alpha-Divergence Variational Inference NeurIPS 2021 Model-Aware Gesture-to-Gesture Translation CVPR 2021 Model-Based Domain Generalization NeurIPS 2021 Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? ICLR 2021 Modeling the Second Player in Distributionally Robust Optimization ICLR 2021 Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NeurIPS 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis CVPR 2021