model compression

Quantized Spike-driven Transformer ICLR 2025 QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025 QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025 QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025 RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models CVPR 2025 RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection CVPR 2025 Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025 RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025 RaSA: Rank-Sharing Low-Rank Adaptation ICLR 2025 Real-Time Neural Denoising with Render-Aware Knowledge Distillation AAAI 2025 RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks ICLR 2025 Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation EMNLP 2025 RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025 Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025 Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA ICLR 2025 RemDet: Rethinking Efficient Model Design for UAV Object Detection AAAI 2025 Representing 3D Shapes with 64 Latent Vectors for 3D Diffusion Models ICCV 2025 Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models COLING 2025 Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025 Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025 Retrofitting Large Language Models with Dynamic Tokenization ACL 2025 RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation? ACL 2025 Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025 Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn’t Matter (Much) IJCNLP 2025 Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025