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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

Federated Model Heterogeneous Matryoshka Representation Learning NIPS 2024
Agile Multi-Source-Free Domain Adaptation AAAI 2024
SparseFlow: Accelerating Transformers by Sparsifying Information Flows ACL 2024
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction ACL 2024
BMRS: Bayesian Model Reduction for Structured Pruning NIPS 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024
Efficient Large Multi-modal Models via Visual Context Compression NIPS 2024
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024
UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NIPS 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
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024
AS-ES Learning: Towards efficient CoT learning in small models ACL 2024
A Comprehensive Evaluation of Quantization Strategies for Large Language Models ACL 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation ACL 2024
Sparsity-Accelerated Training for Large Language Models ACL 2024
Generative Model-Based Feature Knowledge Distillation for Action Recognition AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder IJCAI 2024
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024