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model compression

3302 papers

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MC

Co-occurring keywords

knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

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
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024
LoRA Meets Dropout under a Unified Framework ACL 2024
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models ACL 2024
AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024