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 3701–3750 of 4891 papers

TitleStatusHype
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation—0
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity—0
Simple is better: Making Decision Trees faster using random sampling—0
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
M-ar-K-Fast Independent Component AnalysisCode0
Seismic wave propagation and inversion with Neural Operators—0
Maximizing Influence with Graph Neural Networks—0
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
Token Shift Transformer for Video ClassificationCode1
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making—0
Value-Agnostic Conversational Semantic Parsing—0
Beyond Sentence-Level End-to-End Speech Translation: Context Helps—0
Multi-scale Matching Networks for Semantic CorrespondenceCode1
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding—0
Learning Span-Level Interactions for Aspect Sentiment Triplet ExtractionCode1
Dissecting FLOPs along input dimensions for GreenAI cost estimationsCode0
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification—0
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms—0
Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM—0
Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signalingCode0
Logspace Reducibility From Secret Leakage Planted Clique—0
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsCode1
Optimal Operation of Power Systems with Energy Storage under Uncertainty: A Scenario-based Method with Strategic Sampling—0
Precision-Weighted Federated Learning—0
Stein Variational Gradient Descent with Multiple Kernel—0
Adaptive wavelet distillation from neural networks through interpretationsCode1
Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders—0
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model—0
Transformer-based Machine Learning for Fast SAT Solvers and Logic SynthesisCode1
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Accelerating Spherical k-Means—0
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation—0
Training Adaptive Computation for Open-Domain Question Answering with Computational ConstraintsCode1
Certifiably Robust Interpretation via Renyi Differential Privacy—0
Learned Global Optimization for Inverse Scattering Problems -- Matching Global Search with Computational Efficiency—0
Dispatchable Region for Active Distribution Networks Using Approximate Second-Order Cone Relaxation—0
Computationally efficient spatial rendering of late reverberation in virtual acoustic environments—0
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement—0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding—0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Efficient Tensor Contraction via Fast Count Sketch—0
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
Harmonic Power-Flow Study of Polyphase Grids with Converter-Interfaced Distributed Energy Resources, Part I: Modelling Framework and Algorithm—0
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis—0
Boundary Graph Neural Networks for 3D SimulationsCode0
Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee—0
Training or Architecture? How to Incorporate Invariance in Neural Networks—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Pre-Trained Models: Past, Present and Future—0
Quantum Speedup of Natural Gradient for Variational Bayes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified