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 3801–3850 of 4891 papers

TitleStatusHype
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
Burst Image Super-Resolution with Mamba—0
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits—0
Byzantine-Resilient Distributed P2P Energy Trading via Spatial-Temporal Anomaly Detection—0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
CAMEL: Curvature-Augmented Manifold Embedding and Learning—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Balancing Privacy, Robustness, and Efficiency in Machine Learning—0
Canonical Bayesian Linear System Identification—0
Can pruning make Large Language Models more efficient?—0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization—0
CARROT: A Cost Aware Rate Optimal Router—0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models—0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference—0
Causal Generative Domain Adaptation Networks—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
CausalX: Causal Explanations and Block Multilinear Factor Analysis—0
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model—0
CCSNet: a deep learning modeling suite for CO_2 storage—0
CD-ROM: Complemented Deep-Reduced Order Model—0
Joint Location and Velocity Estimation and Fundamental CRLB Analysis for Cell-Free MIMO-ISAC—0
Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number—0
Certifiably Robust Interpretation via Renyi Differential Privacy—0
CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network—0
Characteristic Neural Ordinary Differential Equations—0
Characterizing the Evasion Attackability of Multi-label Classifiers—0
CHIRRUP: a practical algorithm for unsourced multiple access—0
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono—0
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge—0
CIMON: Towards High-quality Hash Codes—0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
Classification of Occluded Objects using Fast Recurrent Processing—0
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified