Efficient Computing

Plug-and-Play Document Modules for Pre-trained Models ACL 2023 PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation CVPR 2023 Post-Processing Temporal Action Detection CVPR 2023 Practical Network Acceleration With Tiny Sets CVPR 2023 Predicting Temporal Sets with Simplified Fully Connected Networks AAAI 2023 Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023 Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023 PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization CVPR 2023 Real-Time Neural Light Field on Mobile Devices CVPR 2023 Recasting Self-Attention with Holographic Reduced Representations ICML 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 RGB No More: Minimally-Decoded JPEG Vision Transformers CVPR 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023 Robust Feature Rectification of Pretrained Vision Models for Object Recognition AAAI 2023 RWKV: Reinventing RNNs for the Transformer Era EMNLP 2023 Scaling Laws for BERT in Low-Resource Settings ACL 2023 Scaling Vision-Language Models with Sparse Mixture of Experts EMNLP 2023 SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy CVPR 2023 Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NeurIPS 2023 SCoMoE: Efficient Mixtures of Experts with Structured Communication ICLR 2023 "Seeing" Electric Network Frequency From Events CVPR 2023 Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model EMNLP 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NeurIPS 2023