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Model Compression

1503 directly classified papers

Papers per year

Papers

FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning EMNLP 2023
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation EMNLP 2023
Watermarking LLMs with Weight Quantization EMNLP 2023
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization EMNLP 2023
On Surgical Fine-tuning for Language Encoders EMNLP 2023
A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting INTERSPEECH 2023
Switchable Representation Learning Framework With Self-Compatibility CVPR 2023
Practical Network Acceleration With Tiny Sets CVPR 2023
CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering CVPR 2023
Accelerating Dataset Distillation via Model Augmentation CVPR 2023
Class Attention Transfer Based Knowledge Distillation CVPR 2023
DepGraph: Towards Any Structural Pruning CVPR 2023
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration CVPR 2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval CVPR 2023
Partial Network Cloning CVPR 2023
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization CVPR 2023
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023
MARS: Masked Automatic Ranks Selection in Tensor Decompositions AISTATS 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023
LOFT: Finding Lottery Tickets through Filter-wise Training AISTATS 2023
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach AISTATS 2023
ForestPrune: Compact Depth-Pruned Tree Ensembles AISTATS 2023