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model compression

3,562 papers

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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

Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? CVPR 2025 Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025 AROMA: Autonomous Rank-one Matrix Adaptation EMNLP 2025 As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025 A Self-Distillation Recipe for Neural Machine Translation ACL 2025 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization AAAI 2025 Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025 AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations COLING 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models CVPR 2025 Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration CVPR 2025 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution ICLR 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025 Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025 Band-SCNet: A Causal, Lightweight Model for High-Performance Real-Time Music Source Separation Interspeech 2025 Barrier Breakers at BLP-2025 Task 2: Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter AACL 2025 Basic Reading Distillation ACL 2025 Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression ICLR 2025 Bayesian Optimization over Bounded Domains with the Beta Product Kernel UAI 2025 BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios ACL 2025 BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion EMNLP 2025 BeamLoRA: Beam-Constraint Low-Rank Adaptation ACL 2025 BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts ICLR 2025 Best Practices for Distilling Large Language Models into BERT for Web Search Ranking COLING 2025 Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025