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 2251–2300 of 4891 papers

TitleStatusHype
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationCode1
Proof-of-Learning with Incentive Security—0
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models—0
TSLANet: Rethinking Transformers for Time Series Representation LearningCode3
Minimax Optimal Goodness-of-Fit Testing with Kernel Stein Discrepancy—0
BERT-LSH: Reducing Absolute Compute For AttentionCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image DenoisingCode2
Precoder Design for User-Centric Network Massive MIMO with Matrix Manifold Optimization—0
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided EmbeddingCode0
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-MeshCode2
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks—0
Adapting LLaMA Decoder to Vision TransformerCode1
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
Bidirectional Long-Range Parser for Sequential Data Understanding—0
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection—0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
On the Efficiency of Convolutional Neural Networks—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
Attention is Naturally Sparse with Gaussian Distributed Input—0
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference—0
Improved model-free bounds for multi-asset options using option-implied information and deep learning—0
Learning-based model augmentation with LFRsCode0
Tensorized NeuroEvolution of Augmenting Topologies for GPU AccelerationCode3
Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISACCode1
MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation—0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay—0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringCode1
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Multi-scale Unified Network for Image Classification—0
Transformers-based architectures for stroke segmentation: A review—0
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems—0
Tiny Models are the Computational Saver for Large ModelsCode0
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model—0
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
Grappa -- A Machine Learned Molecular Mechanics Force FieldCode2
Benchmarking Video Frame Interpolation—0
ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image RegistrationCode1
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks—0
Stochastic parameter reduced-order model based on hybrid machine learning approaches—0
Crypto Inverse-Power Options and Fractional Stochastic Volatility—0
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering RefinementCode3
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORA—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified