model compression

Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 ESPACE: Dimensionality Reduction of Activations for Model Compression NeurIPS 2024 Even Sparser Graph Transformers NeurIPS 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction ACL 2024 Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion NeurIPS 2024 Exploring compressibility of transformer based text-to-music (TTM) models Interspeech 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation AAAI 2024 Exploring Quantization for Efficient Pre-Training of Transformer Language Models EMNLP 2024 Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification EMNLP 2024 Exploring Token Pruning in Vision State Space Models NeurIPS 2024 FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NeurIPS 2024 FastAST: Accelerating Audio Spectrogram Transformer via Token Merging and Cross-Model Knowledge Distillation Interspeech 2024 Fast-ELECTRA for Efficient Pre-training ICLR 2024 Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward IJCAI 2024 Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024 Federated Learning via Input-Output Collaborative Distillation AAAI 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024