SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3401–3425 of 4891 papers

TitleStatusHype
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data—0
Adversarial Contrastive Learning by Permuting Cluster Assignments—0
Adversarial Imitation Learning via Random Search—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks—0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images—0
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
Aeroengine performance prediction using a physical-embedded data-driven method—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications—0
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates—0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
A few-shot Label Unlearning in Vertical Federated Learning—0
A Filtering-based General Approach to Learning Rational Constraints of Epistemic Graphs—0
A Framework for Combustion Chemistry Acceleration with DeepONets—0
A Framework for Wasserstein-1-Type Metrics—0
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling—0
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms—0
A Generalization of Continuous Relaxation in Structured Pruning—0
A generative foundation model for an all-in-one seismic processing framework—0
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks—0
Agent Assessment of Others Through the Lens of Self—0
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified