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Model Compression

141 directly classified papers

Papers per year

Papers

ICP: Immediate Compensation Pruning for Mid-to-high Sparsity CVPR 2025
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis AAAI 2025
Adaptive Graph Unlearning IJCAI 2025
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy ICCV 2025
Towards compact and efficient Slovak summarization models ACL 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025
NN-Former: Rethinking Graph Structure in Neural Architecture Representation CVPR 2025
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference AAAI 2025
LangCompress: Language-Aware Compression of Large Language Models IJCNLP 2025
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models WACV 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations IJCAI 2025
RSSN at Multilingual Counterspeech Generation: Leveraging Lightweight Transformers for Efficient and Context-Aware Counter-Narrative Generation COLING 2025
MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation COLING 2025
Binarized Neural Network for Multi-spectral Image Fusion CVPR 2025
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches AAAI 2025
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics ICCV 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks AAAI 2025