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Model Compression

1928 directly classified papers

Papers per year

Papers

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024
On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer CVPR 2024
Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space ACL 2024
On the social bias of speech self-supervised models INTERSPEECH 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NIPS 2024
Exploring compressibility of transformer based text-to-music (TTM) models INTERSPEECH 2024
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget ACL 2024
Learn and Don't Forget: Adding a New Language to ASR Foundation Models INTERSPEECH 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024
Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging INTERSPEECH 2024
WRP: Weight Recover Prune for Structured Sparsity ACL 2024
Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies INTERSPEECH 2024
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NIPS 2024
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning CVPR 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NIPS 2024
SparseFlow: Accelerating Transformers by Sparsifying Information Flows ACL 2024
Compact 3D Gaussian Representation for Radiance Field CVPR 2024
Data-Free Quantization via Pseudo-label Filtering CVPR 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NIPS 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation ACL 2024