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Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 1401–1450 of 4891 papers

TitleStatusHype
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
DUCPS: Deep Unfolding the Cauchy Proximal Splitting Algorithm for B-Lines Quantification in Lung Ultrasound Images—0
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance—0
Efficient Video Segmentation Using Parametric Graph Partitioning—0
Dyna: A Method of Momentum for Stochastic Optimization—0
Don't forget, there is more than forgetting: new metrics for Continual Learning—0
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX—0
Dynamically Expanded CNN Array for Video Coding—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models—0
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion—0
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
Dynamic Causal Models of Time-Varying Connectivity—0
Domain-Specific Japanese ELECTRA Model Using a Small Corpus—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Bandit-Driven Batch Selection for Robust Learning under Label Noise—0
Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose—0
Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics—0
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction—0
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation—0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control—0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding—0
Dynamic Neural Networks: A Survey—0
Dynamic Parallel Tree Search for Efficient LLM Reasoning—0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network—0
Balancing training time vs. performance with Bayesian Early Pruning—0
Accelerating Machine Learning Algorithms with Adaptive Sampling—0
Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods—0
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT—0
A Modular Framework for Distributed Model Predictive Control of Nonlinear Continuous-Time Systems (GRAMPC-D)—0
Dynamic Time-Of-Flight—0
Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers—0
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer—0
Easy Transfer Learning By Exploiting Intra-domain Structures—0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified