Efficient Computing

Rethinking Vision Transformers for MobileNet Size and Speed ICCV 2023 Reusing Pretrained Models by Multi-linear Operators for Efficient Training NeurIPS 2023 Reversible Neural Networks for Memory-Efficient Speaker Verification Interspeech 2023 Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023 Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models EACL 2023 Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023 Revisiting the Evaluation of Deep Learning-Based Compiler Testing IJCAI 2023 Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy ICCV 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 2023 RGB No More: Minimally-Decoded JPEG Vision Transformers CVPR 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023 RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch ICLR 2023 RNAS-MER: A Refined Neural Architecture Search With Hybrid Spatiotemporal Operations for Micro-Expression Recognition WACV 2023 Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment RSS 2023 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023 Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding EACL 2023 Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning ICML 2023 Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch ICML 2023 ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy WACV 2023 ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023 Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks CVPR 2023 R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023 Safeguarded Learned Convex Optimization AAAI 2023 SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation ICCV 2023