Model Compression

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023 ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023 SAFE: Machine Unlearning With Shard Graphs ICCV 2023 Safety Aware Neural Pruning for Deep Reinforcement Learning (Student Abstract) AAAI 2023 ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients CVPR 2023 Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NeurIPS 2023 SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution WACV 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective ICLR 2023 Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models ACL 2023 Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023 Serving Graph Compression for Graph Neural Networks ICLR 2023 SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations ICCV 2023 Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers EACL 2023 Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction ICCV 2023 Single Image Deblurring with Row-dependent Blur Magnitude ICCV 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference IJCAI 2023 SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing ICLR 2023 SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models ICML 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023 SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot ICML 2023 Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023 SparseVSR: Lightweight and Noise Robust Visual Speech Recognition Interspeech 2023 Sparsity-Preserving Differentially Private Training of Large Embedding Models NeurIPS 2023