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model compression

3,562 papers

MC

Papers

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation EMNLP 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Gradient-Guided Knowledge Distillation for Object Detectors WACV 2024 Group and Shuffle: Efficient Structured Orthogonal Parametrization NeurIPS 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 HashReID: Dynamic Network With Binary Codes for Efficient Person Re-Identification WACV 2024 Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024 HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting CVPR 2024 Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models NeurIPS 2024 How Does Quantization Affect Multilingual LLMs? EMNLP 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 How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation AAAI 2024 Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution IJCAI 2024 HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 Hybrid Distillation from RBMT and NMT: Helsinki-NLP’s Submission to the Shared Task on Translation into Low-Resource Languages of Spain EMNLP 2024 HydraViT: Stacking Heads for a Scalable ViT NeurIPS 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs NeurIPS 2024 Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model NAACL 2024 Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths WACV 2024 Improving LoRA in Privacy-preserving Federated Learning ICLR 2024