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

Showing 27012725 of 4891 papers

TitleStatusHype
SELD-Mamba: Selective State-Space Model for Sound Event Localization and Detection with Source Distance Estimation0
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models0
Selective Video Object Cutout0
Self-Attentional Models for Lattice Inputs0
Self-Data Distillation for Recovering Quality in Pruned Large Language Models0
Self-Driving Car Racing: Application of Deep Reinforcement Learning0
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay0
Self-Supervised Camera Self-Calibration from Video0
Self-Supervised Learning of Compressed Video Representations0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors0
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes0
Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization0
Semantic Draw Engineering for Text-to-Image Creation0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments0
Semantic Graph for Zero-Shot Learning0
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition0
Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency0
SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection0
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning0
Sensor Selection by Linear Programming0
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching0
Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis0
Sequence-based deep learning antibody design for in silico antibody affinity maturation0
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified