Efficient Computing

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning OSDI 2023 CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges JMLR 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects ICML 2023 Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks WACV 2023 CoLLiE: Collaborative Training of Large Language Models in an Efficient Way EMNLP 2023 CoLT5: Faster Long-Range Transformers with Conditional Computation EMNLP 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks JMLR 2023 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 CoMFLP: Correlation Measure Based Fast Search on ASR Layer Pruning Interspeech 2023 Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023 Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023 Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023 Compact Neural Volumetric Video Representations with Dynamic Codebooks NeurIPS 2023 COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability ICCV 2023 Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition AAAI 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Comprehensive and Delicate: An Efficient Transformer for Image Restoration CVPR 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023 Compressed MoE ASR Model Based on Knowledge Distillation and Quantization Interspeech 2023 Compressing Context to Enhance Inference Efficiency of Large Language Models EMNLP 2023 Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small WACV 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023 Compressing Volumetric Radiance Fields to 1 MB CVPR 2023