Efficient Computing

Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Pruning vs Quantization: Which is Better? NeurIPS 2023 PTQD: Accurate Post-Training Quantization for Diffusion Models NeurIPS 2023 PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023 QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark ICML 2023 Q-Diffusion: Quantizing Diffusion Models ICCV 2023 Q-DM: An Efficient Low-bit Quantized Diffusion Model NeurIPS 2023 QLoRA: Efficient Finetuning of Quantized LLMs NeurIPS 2023 Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing NeurIPS 2023 Quantization-aware and Tensor-compressed Training of Transformers for Natural Language Understanding Interspeech 2023 Quantized Distributed Training of Large Models with Convergence Guarantees ICML 2023 QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution NeurIPS 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 Quick Multi-Robot Motion Planning by Combining Sampling and Search IJCAI 2023 Random-Access Infinite Context Length for Transformers NeurIPS 2023 Raw Image Reconstruction With Learned Compact Metadata CVPR 2023 RDumb: A simple approach that questions our progress in continual test-time adaptation NeurIPS 2023 Real-Time 6K Image Rescaling With Rate-Distortion Optimization CVPR 2023 Real-Time Controllable Denoising for Image and Video CVPR 2023 Real Time Detection of Soft Voice for Speech Enhancement Interspeech 2023 Real-Time Evaluation in Online Continual Learning: A New Hope CVPR 2023 Real-Time Image Demoir$\acute{e}$ing on Mobile Devices ICLR 2023 Real-Time Neural Light Field on Mobile Devices CVPR 2023