Architectures

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture NeurIPS 2023 Monaural Speech Separation Method Based on Recurrent Attention with Parallel Branches Interspeech 2023 Monocular Scene Reconstruction with 3D SDF Transformers ICLR 2023 More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity ICLR 2023 More Knowledge, Less Bias: Unbiasing Scene Graph Generation With Explicit Ontological Adjustment WACV 2023 MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining NeurIPS 2023 MOSLight: A Lightweight Data-Efficient System for Non-Intrusive Speech Quality Assessment Interspeech 2023 MOSO: Decomposing MOtion, Scene and Object for Video Prediction CVPR 2023 MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery ICCV 2023 MotionBERT: A Unified Perspective on Learning Human Motion Representations ICCV 2023 MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions ICCV 2023 Motion Information Propagation for Neural Video Compression CVPR 2023 Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics ICLR 2023 MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC ICLR 2023 MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention ICCV 2023 MP-Former: Mask-Piloted Transformer for Image Segmentation CVPR 2023 mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video ICML 2023 MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging MIDL 2023 MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra Interspeech 2023 mReFinED: An Efficient End-to-End Multilingual Entity Linking System EMNLP 2023 Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation SemEval 2023 MSCFFN: A New FFN with Multi-Space Cross to Accelerate Transformer EMNLP 2023 MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model AAAI 2023 MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree ICCV 2023 MTANet: Multi-band Time-frequency Attention Network for Singing Melody Extraction from Polyphonic Music Interspeech 2023