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 2401–2450 of 4891 papers

TitleStatusHype
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement—0
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks—0
Projection Bank: From High-dimensional Data to Medium-length Binary Codes—0
Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting—0
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought—0
Prompt Diffusion Robustifies Any-Modality Prompt Learning—0
Prompt-driven efficient Open-set Semi-supervised Learning—0
Proof-of-Learning with Incentive Security—0
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model—0
Property-driven State-Space Coarsening for Continuous Time Markov Chains—0
Prototypical Bregman Networks—0
Provable Convex Co-clustering of Tensors—0
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data—0
Provably Efficient Infinite-Horizon Average-Reward Reinforcement Learning with Linear Function Approximation—0
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation—0
Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits—0
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations—0
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs—0
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks—0
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks—0
Pseudo-Measurement Enhancement in Power Distribution Systems—0
Pseudo-perplexity in One Fell Swoop for Protein Fitness Estimation—0
PT-PINNs: A Parametric Engineering Turbulence Solver based on Physics-Informed Neural Networks—0
Purifying Approximate Differential Privacy with Randomized Post-processing—0
PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts—0
QAMA: Quantum annealing multi-head attention operator with classical deep learning framework—0
QArchSearch: A Scalable Quantum Architecture Search Package—0
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments—0
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems—0
QKSAN: A Quantum Kernel Self-Attention Network—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models—0
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification—0
Quadratic Gating Functions in Mixture of Experts: A Statistical Insight—0
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities—0
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM—0
Quality-aware Part Models for Occluded Person Re-identification—0
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning—0
Quantifying Behavioural Distance Between Mathematical Expressions—0
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models—0
Quantization-based Bounds on the Wasserstein Metric—0
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines—0
Quantum Attention for Vision Transformers in High Energy Physics—0
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing—0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Quantum Computing for Climate Resilience and Sustainability Challenges—0
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy—0
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach—0
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment—0
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration—0
Show:102550
← PrevPage 49 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified