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 1651–1700 of 4891 papers

TitleStatusHype
FastLexRank: Efficient Lexical Ranking for Structuring Social Media PostsCode0
FlashMask: Efficient and Rich Mask Extension of FlashAttention—0
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility ConditionsCode0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Sparse Covariance Neural NetworksCode0
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting—0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Approximately Aligned Decoding—0
Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging—0
Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method—0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
Graph-Based Representation Learning of Neuronal Dynamics and BehaviorCode0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—0
EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record GenerationCode0
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation—0
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits—0
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning—0
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator—0
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
When Molecular GAN Meets Byte-Pair Encoding—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Efficient Semantic Diffusion Architectures for Model Training on Synthetic EchocardiogramsCode0
On the Power of Decision Trees in Auto-Regressive Language Modeling—0
TensorSocket: Shared Data Loading for Deep Learning Training—0
Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model—0
Grid Evolution for Doubly Fractional Channel Estimation in OTFS Systems—0
PNR: Physics-informed Neural Representation for high-resolution LFM reconstruction—0
Conjugate Bayesian Two-step Change Point Detection for Hawkes ProcessCode0
Unifying Dimensions: A Linear Adaptive Approach to Lightweight Image Super-ResolutionCode0
EfficientCrackNet: A Lightweight Model for Crack Segmentation—0
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks—0
Exploring Brain Network Organization in Alzheimer Disease and Frontotemporal Dementia: A Crossplot Transition Entropy Approach—0
Most Influential Subset Selection: Challenges, Promises, and BeyondCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic WorkflowsCode1
Learning Representation for Multitask learning through Self Supervised Auxiliary learning—0
CNN Mixture-of-Depths—0
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision MambaCode0
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth EstimationCode0
Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences—0
Applying Incremental Learning in Binary-Addition-Tree Algorithm for Dynamic Binary-State Network Reliability—0
TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality ModelCode1
GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs—0
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint—0
Zero-Shot Detection of AI-Generated Images—0
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of ExpertsCode4
Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification—0
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified