Skip to content
conftrace_

model compression

3,562 papers

Explore in graph

Also known as

MC

Co-occurring keywords · papers mentioning both

knowledge distillation (1,124) large language model (422) neural network (322) neural network optimization (297) efficient computing (297) convolutional neural network (240) transfer learning (234) neural network pruning (200) parameter-efficient fine-tuning (168) language model (158)

Papers

FREE-Merging: Fourier Transform for Efficient Model Merging ICCV 2025 FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures AAAI 2025 Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting ICCV 2025 Frequency Dynamic Convolution for Dense Image Prediction CVPR 2025 From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ ICLR 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025 Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025 Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models EMNLP 2025 GAP: a Global Adaptive Pruning Method for Large Language Models EMNLP 2025 Gated Delta Networks: Improving Mamba2 with Delta Rule ICLR 2025 GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting CVPR 2025 General Compression Framework for Efficient Transformer Object Tracking ICCV 2025 Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations ICCV 2025 GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025 “Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM Quantization ACL 2025 GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference IJCNLP 2025 Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025 GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models ACL 2025 GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025 Graph Sparsification via Mixture of Graphs ICLR 2025 GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression EMNLP 2025 Growing a Twig to Accelerate Large Vision-Language Models ICCV 2025 HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS ICLR 2025