Model Compression

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS 2024 How Far Can We Compress Instant-NGP-Based NeRF? CVPR 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 HydraViT: Stacking Heads for a Scalable ViT NeurIPS 2024 In defense of parameter sharing for model-compression ICLR 2024 InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries ACML 2024 InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024 IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact ACL 2024 IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning AAAI 2024 Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning EMNLP 2024 IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024 Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NeurIPS 2024 LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection CVPR 2024 Layer-Adaptive State Pruning for Deep State Space Models NeurIPS 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Layer Compression of Deep Networks with Straight Flows AAAI 2024 LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging ICML 2024 LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding ACL 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024 Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024