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 2051–2100 of 4891 papers

TitleStatusHype
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion—0
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
TDDBench: A Benchmark for Training data detection—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
How Analysis Can Teach Us the Optimal Way to Design Neural Operators—0
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect—0
You are out of context!—0
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
An algorithm for two-player repeated games with imperfect public monitoringCode0
HC^3L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis—0
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination—0
Federated Learning with Relative Fairness—0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting OperationCode0
Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations—0
SANN-PSZ: Spatially Adaptive Neural Network for Head-Tracked Personal Sound Zones—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System—0
ψDAG: Projected Stochastic Approximation Iteration for DAG Structure LearningCode0
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors—0
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions—0
Leveraging Large Language Models for Medical Information Extraction and Query Generation—0
Constrained Trajectory Optimization for Hybrid Dynamical Systems—0
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning—0
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceCode0
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers—0
SkipSNN: Efficiently Classifying Spike Trains with Event-attentionCode0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Dual Conditional Diffusion Models for Sequential Recommendation—0
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning—0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte CarloCode0
A Temporal Linear Network for Time Series ForecastingCode0
Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns—0
Optimal Hardening Strategy for Electricity-Hydrogen Networks with Hydrogen Leakage Risk Control against Extreme Weather—0
Hybrid Deep Learning for Legal Text Analysis: Predicting Punishment Durations in Indonesian Court Rulings—0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
Prompt Diffusion Robustifies Any-Modality Prompt Learning—0
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction—0
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified