Efficient Computing

MixFormerV2: Efficient Fully Transformer Tracking NeurIPS 2023 MixPath: A Unified Approach for One-shot Neural Architecture Search ICCV 2023 MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering CVPR 2023 Mixture-of-Expert Conformer for Streaming Multilingual ASR Interspeech 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization ICLR 2023 mmWall: A Steerable, Transflective Metamaterial Surface for NextG mmWave Networks NSDI 2023 MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models ICLR 2023 MobileNMT: Enabling Translation in 15MB and 30ms ACL 2023 MobileOne: An Improved One Millisecond Mobile Backbone CVPR 2023 MobileTL: On-Device Transfer Learning with Inverted Residual Blocks AAAI 2023 MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation CVPR 2023 Moccasin: Efficient Tensor Rematerialization for Neural Networks ICML 2023 Model-Based Control with Sparse Neural Dynamics NeurIPS 2023 Model Compression for DNN-based Speaker Verification Using Weight Quantization Interspeech 2023 ModelKeeper: Accelerating DNN Training via Automated Training Warmup NSDI 2023 MODeL: Memory Optimizations for Deep Learning ICML 2023 Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning ICLR 2023 Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023 Module-wise Training of Neural Networks via the Minimizing Movement Scheme NeurIPS 2023 Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context NeurIPS 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 Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ACL 2023 MSCFFN: A New FFN with Multi-Space Cross to Accelerate Transformer EMNLP 2023 MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree ICCV 2023