Efficient Computing

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping ICLR 2024 A Comprehensive Evaluation of Quantization Strategies for Large Language Models ACL 2024 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NeurIPS 2024 A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks ICLR 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NeurIPS 2024 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NeurIPS 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records NeurIPS 2024 AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search CVPR 2024 BASS: Batched Attention-optimized Speculative Sampling ACL 2024 Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models EMNLP 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference NeurIPS 2024 BOLD: Boolean Logic Deep Learning NeurIPS 2024 Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers NeurIPS 2024 Cache Me if You Can: Accelerating Diffusion Models through Block Caching CVPR 2024 Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024 Cascade Speculative Drafting for Even Faster LLM Inference NeurIPS 2024 Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy EMNLP 2024 CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification EMNLP 2024