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 2926–2950 of 4891 papers

TitleStatusHype
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