model compression

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024 In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024 Incremental pre-training from smaller language models ACL 2024 In defense of parameter sharing for model-compression ICLR 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 Induced Model Matching: Restricted Models Help Train Full-Featured Models NeurIPS 2024 Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024 Initializing Models with Larger Ones ICLR 2024 Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation NeurIPS 2024 Instance-Aware Group Quantization for Vision Transformers CVPR 2024 IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact ACL 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024 Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024 IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning AAAI 2024 Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning EMNLP 2024 Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation COLING 2024 IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 Knowledge boosting during low-latency inference Interspeech 2024 Knowledge Distillation for Tiny Speech Enhancement with Latent Feature Augmentation Interspeech 2024 Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection ACL 2024 Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget NAACL 2024 Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024 KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NeurIPS 2024 KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024