Model Compression

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation ICCV 2023 Pruning Deep Neural Networks from a Sparsity Perspective ICLR 2023 Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Pruning vs Quantization: Which is Better? NeurIPS 2023 PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023 Quantifying lottery tickets under label noise: accuracy, calibration, and complexity UAI 2023 Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework NeurIPS 2023 QuIP: 2-Bit Quantization of Large Language Models With Guarantees NeurIPS 2023 RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023 ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models ACL 2023 ReCode: Robustness Evaluation of Code Generation Models ACL 2023 Reconstructive Neuron Pruning for Backdoor Defense ICML 2023 RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers ICCV 2023 Rethinking Conditional Diffusion Sampling with Progressive Guidance NeurIPS 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Rethinking Graph Lottery Tickets: Graph Sparsity Matters ICLR 2023 Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective EACL 2023 Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models EACL 2023 Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy ICCV 2023 Robust Image Steganography: Hiding Messages in Frequency Coefficients AAAI 2023 Robust low-rank training via approximate orthonormal constraints NeurIPS 2023 Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding EACL 2023