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Efficient Computing

1253 directly classified papers

Papers per year

Papers

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability AAAI 2025
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters AAAI 2025
Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models AAAI 2025
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs AAAI 2025
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks AAAI 2025
A-VL: Adaptive Attention for Large Vision-Language Models AAAI 2025
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters AAAI 2025
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network AAAI 2025
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices AAAI 2025
Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving AAAI 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models AAAI 2025
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors AAAI 2025
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement AAAI 2025
Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree AAAI 2025
Multi-Branch Self-Drafting for LLM Inference Acceleration AAAI 2025
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025
DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025