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 3801–3825 of 4891 papers

TitleStatusHype
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
Burst Image Super-Resolution with Mamba—0
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits—0
Byzantine-Resilient Distributed P2P Energy Trading via Spatial-Temporal Anomaly Detection—0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
CAMEL: Curvature-Augmented Manifold Embedding and Learning—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Balancing Privacy, Robustness, and Efficiency in Machine Learning—0
Canonical Bayesian Linear System Identification—0
Can pruning make Large Language Models more efficient?—0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization—0
CARROT: A Cost Aware Rate Optimal Router—0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models—0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference—0
Causal Generative Domain Adaptation Networks—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
CausalX: Causal Explanations and Block Multilinear Factor Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified