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

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Showing 2901–2950 of 4891 papers

TitleStatusHype
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning—0
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction—0
Study of Frequency domain exponential functional link network filters—0
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation—0
Style Transfer: From Stitching to Neural Networks—0
Sub-Sampled Newton Methods II: Local Convergence Rates—0
Subspace Hybrid MVDR Beamforming for Augmented Hearing—0
Successive Jump and Mode Decomposition—0
Successive Ray Refinement and Its Application to Coordinate Descent for LASSO—0
Successor Features for Efficient Multisubject Controlled Text Generation—0
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration—0
Suitability of Quantized DEVS LIM Methods for Simulation of Power Systems—0
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search—0
SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates—0
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems—0
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams—0
Supervised clustering of high dimensional data using regularized mixture modeling—0
Supervised Fuzzy Partitioning—0
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection—0
Support estimation in high-dimensional heteroscedastic mean regression—0
SUPRA: Subspace Parameterized Attention for Neural Operator on General Domains—0
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system—0
Surrogate-assisted multi-objective design of complex multibody systems—0
Survey on Hand Gesture Recognition from Visual Input—0
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data—0
SUTRA: Scalable Multilingual Language Model Architecture—0
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training—0
Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems—0
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep—0
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors—0
Switched Lyapunov Function based Controller Synthesis for Networked Control Systems: A Computationally Inexpensive Approach—0
Switching Device-Cognizant Sequential Distribution System Restoration—0
Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization—0
Symmetry-invariant optimization in deep networks—0
SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction—0
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning—0
Synthetic Training for Monocular Human Mesh Recovery—0
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network—0
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems—0
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning—0
Taipan: Efficient and Expressive State Space Language Models with Selective Attention—0
TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages—0
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models—0
Target Localization with Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint Eigenvalue Decomposition—0
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems—0
Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection—0
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video—0
Taylor-Expansion-Based Robust Power Flow in Unbalanced Distribution Systems: A Hybrid Data-Aided Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified