model compression

The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification NAACL 2024 The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction ICLR 2024 The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 2024 Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying NAACL 2024 tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models Interspeech 2024 TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NeurIPS 2024 Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? NAACL 2024 To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation ACL 2024 Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024 Torque Based Structured Pruning for Deep Neural Network WACV 2024 Toward Efficient Inference for Mixture of Experts NeurIPS 2024 Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024 Towards an On-device Agent for Text Rewriting NAACL 2024 Towards Better Structured Pruning Saliency by Reorganizing Convolution WACV 2024 Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators ICLR 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024 Towards Effective and General Graph Unlearning via Mutual Evolution AAAI 2024 Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NeurIPS 2024 Traceable Federated Continual Learning CVPR 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Transferable and Principled Efficiency for Open-Vocabulary Segmentation CVPR 2024 TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling EMNLP 2024 Transformer as Linear Expansion of Learngene AAAI 2024 Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models NeurIPS 2024