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Efficient Computing

6,876 papers

Papers per year

Papers

Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks AAAI 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing AAAI 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference AAAI 2024
Memory-Efficient Reversible Spiking Neural Networks AAAI 2024
Patch-Aware Sample Selection for Efficient Masked Image Modeling AAAI 2024
Divergence-Guided Simultaneous Speech Translation AAAI 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation AAAI 2024
Audio Generation with Multiple Conditional Diffusion Model AAAI 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries AAAI 2024
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models AAAI 2024
Preparing Lessons for Progressive Training on Language Models AAAI 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge AAAI 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates AAAI 2024
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024
Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024