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model compression

3302 papers

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MC

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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

P2D: Plug and Play Discriminator for Accelerating GAN Frameworks WACV 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL 2024
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NIPS 2024
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection SEMEVAL 2024
Anchor-based Large Language Models ACL 2024
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation ACL 2024
Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024
byteLLM@LT-EDI-2024: Homophobia/Transphobia Detection in Social Media Comments - Custom Subword Tokenization with Subword2Vec and BiLSTM EACL 2024
SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference EACL 2024
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024
Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024
Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024
ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024
ShareBERT: Embeddings Are Capable of Learning Hidden Layers AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NIPS 2024
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials AAAI 2024
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
Generative Model-Based Feature Knowledge Distillation for Action Recognition AAAI 2024