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 2701–2750 of 4891 papers

TitleStatusHype
Self-Attentional Models for Lattice Inputs—0
Self-Data Distillation for Recovering Quality in Pruned Large Language Models—0
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay—0
Self-Supervised Camera Self-Calibration from Video—0
Self-Supervised Learning of Compressed Video Representations—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes—0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization—0
Semantic Draw Engineering for Text-to-Image Creation—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Semantic Graph for Zero-Shot Learning—0
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition—0
Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency—0
SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection—0
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning—0
Sensor Selection by Linear Programming—0
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching—0
Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis—0
Sequence-based deep learning antibody design for in silico antibody affinity maturation—0
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring—0
Sequence Training of DNN Acoustic Models With Natural Gradient—0
Sequential Optimization for Efficient High-Quality Object Proposal Generation—0
Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization—0
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
SeTformer is What You Need for Vision and Language—0
SEvoBench : A C++ Framework For Evolutionary Single-Objective Optimization Benchmarking—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
SF^2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida—0
SGMM: Stochastic Approximation to Generalized Method of Moments—0
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians—0
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification—0
Shallow Signed Distance Functions for Kinematic Collision Bodies—0
Shapley Value Methods for Attribution Modeling in Online Advertising—0
Shortcut Matrix Product States and its applications—0
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction—0
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
Shrinkage Fields for Effective Image Restoration—0
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression—0
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Similarity Search for Efficient Active Learning and Search of Rare Concepts—0
Simple and Effective Specialized Representations for Fair Classifiers—0
Simple is better: Making Decision Trees faster using random sampling—0
Simple, Robust and Optimal Ranking from Pairwise Comparisons—0
Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Training—0
Simulating biochemical reactions: The Linear Noise Approximation can capture non-linear dynamics—0
Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified