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Model Compression

141 directly classified papers

Papers per year

Papers

EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches AAAI 2025
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis AAAI 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025
RSSN at Multilingual Counterspeech Generation: Leveraging Lightweight Transformers for Efficient and Context-Aware Counter-Narrative Generation COLING 2025
Towards compact and efficient Slovak summarization models ACL 2025
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024
USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024
Ghost Noise for Regularizing Deep Neural Networks AAAI 2024
Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024
Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024
Pick-or-Mix: Dynamic Channel Sampling for ConvNets CVPR 2024
Taming Binarized Neural Networks and Mixed-Integer Programs AAAI 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification NIPS 2024
BMRS: Bayesian Model Reduction for Structured Pruning NIPS 2024
RMT: Retentive Networks Meet Vision Transformers CVPR 2024
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024
D^4: Dataset Distillation via Disentangled Diffusion Model CVPR 2024