Efficient Computing

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates AAAI 2024 Accelerating Heterogeneous Federated Learning with Closed-form Classifiers ICML 2024 Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation ICML 2024 Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving ICML 2024 Accelerating Multilingual Language Model for Excessively Tokenized Languages ACL 2024 Accelerating Neural Field Training via Soft Mining CVPR 2024 Accelerating Neural Recommendation Training with Embedding Scheduling NSDI 2024 Accelerating Parallel Sampling of Diffusion Models ICML 2024 Accelerating PDE Data Generation via Differential Operator Action in Solution Space ICML 2024 Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke MIDL 2024 Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight NeurIPS 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference AAAI 2024 Accelerating Transformer Pre-training with 2:4 Sparsity ICML 2024 Accelerating Transformers with Spectrum-Preserving Token Merging NeurIPS 2024 ACCL+: an FPGA-Based Collective Engine for Distributed Applications OSDI 2024 Accurate LoRA-Finetuning Quantization of LLMs via Information Retention ICML 2024 Achieving Domain-Independent Certified Robustness via Knowledge Continuity NeurIPS 2024 Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning ICML 2024 A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis ECCV 2024 A Comprehensive Evaluation of Quantization Strategies for Large Language Models ACL 2024 A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites EMNLP 2024 ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression ICLR 2024 Activation Map Compression through Tensor Decomposition for Deep Learning NeurIPS 2024 Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios NeurIPS 2024