Techniques

MAU: A Motion-Aware Unit for Video Prediction and Beyond NeurIPS 2021 MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training CVPR 2021 MeliusNet: An Improved Network Architecture for Binary Neural Networks WACV 2021 Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ACL 2021 Memory-efficient Patch-based Inference for Tiny Deep Learning NeurIPS 2021 Memory Optimization for Deep Networks ICLR 2021 Mesh Graphormer ICCV 2021 MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement ICCV 2021 Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021 Metadata Normalization CVPR 2021 Meta-learning Symmetries by Reparameterization ICLR 2021 Meta-learning to Improve Pre-training NeurIPS 2021 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains ICLR 2021 MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing CVPR 2021 Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021 M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations MIDL 2021 MicroNet: Improving Image Recognition With Extremely Low FLOPs ICCV 2021 MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation Interspeech 2021 Mind the Pad -- CNNs Can Develop Blind Spots ICLR 2021 Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NeurIPS 2021 Minimum Width for Universal Approximation ICLR 2021 Mirror Descent View for Neural Network Quantization AISTATS 2021 Mistify: Automating DNN Model Porting for On-Device Inference at the Edge NSDI 2021 MLP-Mixer: An all-MLP Architecture for Vision NeurIPS 2021 MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract) AAAI 2021