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Model Compression

139 directly classified papers

Papers per year

Papers

Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NIPS 2024
SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models EMNLP 2024
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024
Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality EMNLP 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation NIPS 2024
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts ACL 2024
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning EMNLP 2024
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024
PostMark: A Robust Blackbox Watermark for Large Language Models EMNLP 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models CVPR 2024
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023
SAFE: Machine Unlearning With Shard Graphs ICCV 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential AAAI 2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark ACL 2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning ACL 2023
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives ACL 2023
Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023