Efficient Computing

BiBench: Benchmarking and Analyzing Network Binarization ICML 2023 Bi-directional Masks for Efficient N:M Sparse Training ICML 2023 BiMatting: Efficient Video Matting via Binarization NeurIPS 2023 Binarized Spectral Compressive Imaging NeurIPS 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023 Binary and Ternary Natural Language Generation ACL 2023 Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NeurIPS 2023 Bit-Pruning: A Sparse Multiplication-Less Dot-Product ICLR 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 BiViT: Extremely Compressed Binary Vision Transformers ICCV 2023 Black-box Prompt Tuning for Vision-Language Model as a Service IJCAI 2023 BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices AISTATS 2023 Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference ICLR 2023 Blockwise Parallel Transformers for Large Context Models NeurIPS 2023 Boosted Dynamic Neural Networks AAAI 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 Boost Transformer-based Language Models with GPU-Friendly Sparsity and Quantization ACL 2023 Boost Vision Transformer With GPU-Friendly Sparsity and Quantization CVPR 2023 Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces NeurIPS 2023 Boundary Graph Neural Networks for 3D Simulations AAAI 2023 BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models ICML 2023 BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking ACL 2023 Bridging Speech Science and Technology — Now and Into the Future Interspeech 2023 Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes ICLR 2023 BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning NeurIPS 2023