Optimization & Theory

Moccasin: Efficient Tensor Rematerialization for Neural Networks ICML 2023 Model Compression for DNN-based Speaker Verification Using Weight Quantization Interspeech 2023 ModelDiff: A Framework for Comparing Learning Algorithms ICML 2023 MODeL: Memory Optimizations for Deep Learning ICML 2023 Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks ACL 2023 Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference ACL 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Most Neural Networks Are Almost Learnable NeurIPS 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 MULLER: Multilayer Laplacian Resizer for Vision ICCV 2023 Multilingual Lottery Tickets to Pretrain Language Models EMNLP 2023 Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF) CVPR 2023 MUX-PLMs: Data Multiplexing for High-throughput Language Models EMNLP 2023 MUX-PLMs: Pre-training Language Models with Data Multiplexing ACL 2023 nanoT5: Fast & Simple Pre-training and Fine-tuning of T5 Models with Limited Resources EMNLP 2023 NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction CVPR 2023 NarrowBERT: Accelerating Masked Language Model Pretraining and Inference ACL 2023 Nearly-tight Bounds for Deep Kernel Learning ICML 2023 NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid CVPR 2023 Network Expansion for Practical Training Acceleration CVPR 2023 Networks are Slacking Off: Understanding Generalization Problem in Image Deraining NeurIPS 2023 Neumann Network With Recursive Kernels for Single Image Defocus Deblurring CVPR 2023 Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023