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model compression

3,562 papers

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MC

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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

Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other NAACL 2024 Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis CVPR 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Compressing LLMs: The Truth is Rarely Pure and Never Simple ICLR 2024 Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation RSS 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 Cooperative Knowledge Distillation: A Learner Agnostic Approach AAAI 2024 CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers ACL 2024 Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning ACL 2024 CrossKD: Cross-Head Knowledge Distillation for Object Detection CVPR 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 D3ETR: Decoder Distillation for Detection Transformer IJCAI 2024 DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models Interspeech 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance AAAI 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models NeurIPS 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 DeepCache: Accelerating Diffusion Models for Free CVPR 2024 Deep Classifier Mimicry without Data Access AISTATS 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NeurIPS 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024