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 351–375 of 4891 papers

TitleStatusHype
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
Reconsidering the Performance of GAE in Link PredictionCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money LaunderingCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context LearningCode1
A Walsh Hadamard Derived Linear Vector Symbolic ArchitectureCode1
Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?Code1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and ReasoningCode1
Scalable Random Feature Latent Variable ModelsCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Non-myopic Generation of Language Models for Reasoning and PlanningCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing StrategiesCode1
Shap-Select: Lightweight Feature Selection Using SHAP Values and RegressionCode1
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language ModelsCode1
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic WorkflowsCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified