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
Hierarchical Object-Centric Learning with Capsule Networks—0
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes—0
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge—0
DecomCAM: Advancing Beyond Saliency Maps through Decomposition and IntegrationCode0
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution ShiftsCode0
Cross-Context Backdoor Attacks against Graph Prompt LearningCode0
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines—0
An Innovative Networks in Federated Learning—0
Combining Off-White and Sparse Black Models in Multi-step Physics-based Systems Identification -- EXTENDED VERSION—0
Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis—0
Efficient Ensembles Improve Training Data Attribution—0
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMsCode0
On Fairness of Low-Rank Adaptation of Large ModelsCode0
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation—0
Probabilistic Graph Rewiring via Virtual NodesCode0
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
Expert-Token Resonance: Redefining MoE Routing through Affinity-Driven Active Selection—0
Efficient Degradation-aware Any Image Restoration—0
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index FunctionsCode0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
Show:102550
← PrevPage 104 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified