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model compression

3283 papers

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Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
Building Variable-Sized Models via Learngene Pool AAAI 2024
Generative Model-Based Feature Knowledge Distillation for Action Recognition AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials AAAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024
ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024
Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models ACL 2024
LLM in a flash: Efficient Large Language Model Inference with Limited Memory ACL 2024
Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NIPS 2024
Optimal and Approximate Adaptive Stochastic Quantization NIPS 2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NIPS 2024
Anchor-based Large Language Models ACL 2024
SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024
ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024