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 1001–1050 of 4891 papers

TitleStatusHype
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative HypotensionCode0
Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihoodCode0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
Hierarchical Variational ModelsCode0
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum OptimizationCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Hierarchical Document Parsing via Large Margin Feature Matching and HeuristicsCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural NetworksCode0
Multiagent Rollout Algorithms and Reinforcement LearningCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
Heron Inference for Bayesian Graphical ModelsCode0
ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based UpsamplingCode0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020Code0
HAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout AnalysisCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under UncertaintyCode0
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
Graph neural networks informed locally by thermodynamicsCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
Boundary Graph Neural Networks for 3D SimulationsCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Adaptive Spiral Layers for Efficient 3D Representation Learning on MeshesCode0
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic ProgrammingCode0
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified