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 2576–2600 of 4891 papers

TitleStatusHype
Revisiting Funnel Transformers for Modern LLM Architectures with Comprehensive Ablations in Training and Inference Configurations—0
Revisiting Learning-based Video Motion Magnification for Real-time Processing—0
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models—0
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits—0
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity—0
RFI Mitigation for One-bit UWB Radar Systems—0
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics—0
RILe: Reinforced Imitation Learning—0
RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation—0
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM—0
Risk-aware Safe Control for Decentralized Multi-agent Systems via Dynamic Responsibility Allocation—0
Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design—0
RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement—0
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles—0
RMP2: A Structured Composable Policy Class for Robot Learning—0
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
RNN-T For Latency Controlled ASR With Improved Beam Search—0
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network—0
RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads—0
Robust and Actively Secure Serverless Collaborative Learning—0
Robust and Adaptive Planning under Model Uncertainty—0
Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach—0
Robust and Fast Bass local volatility—0
Robust Data-Driven Linear Power Flow Model with Probability Constrained Worst-Case Errors—0
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified