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

Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias AAAI 2025 Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025 CASP: Compression of Large Multimodal Models Based on Attention Sparsity CVPR 2025 Catastrophic Failure of LLM Unlearning via Quantization ICLR 2025 Channel Merging: Preserving Specialization for Merged Experts AAAI 2025 CIARD: Cyclic Iterative Adversarial Robustness Distillation ICCV 2025 CLaSp: In-Context Layer Skip for Self-Speculative Decoding ACL 2025 ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning ACL 2025 COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025 CoA: Towards Real Image Dehazing via Compression-and-Adaptation CVPR 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference AAAI 2025 CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis AAAI 2025 CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation EMNLP 2025 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025 CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation EMNLP 2025 CompAct: Compressed Activations for Memory-Efficient LLM Training NAACL 2025 Comparative Knowledge Distillation WACV 2025 Composable Interventions for Language Models ICLR 2025 Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models EMNLP 2025 Compression-Aware Computing for Scalable and Sustainable AI AAAI 2025 Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting NAACL 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025 Context-aware Dynamic Pruning for Speech Foundation Models ICLR 2025 Context-Driven Dynamic Pruning for Large Speech Foundation Models Interspeech 2025