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Model Compression

1503 directly classified papers

Papers per year

Papers

CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection CVPR 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls CVPR 2024
BOLD: Boolean Logic Deep Learning NIPS 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed AAAI 2024
ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection SEMEVAL 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models ACL 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NIPS 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
Efficient AMR Parsing with CLAP: Compact Linearization with an Adaptable Parser COLING 2024
BMX: Boosting Natural Language Generation Metrics with Explainability EACL 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference EACL 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024
DTL: Disentangled Transfer Learning for Visual Recognition AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024
Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024
Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024