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 2251–2275 of 4891 papers

TitleStatusHype
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment—0
Deep Auto-Deferring Policy for Combinatorial Optimization—0
Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations—0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models—0
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning—0
Deep Active Contours for Real-time 6-DoF Object Tracking—0
Action-Sufficient State Representation Learning for Control with Structural Constraints—0
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation—0
Improving LoRA in Privacy-preserving Federated Learning—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
Indirect Query Bayesian Optimization with Integrated Feedback—0
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations—0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems—0
A Survey on Kolmogorov-Arnold Network—0
Action Recognition With Motion Diversification and Dynamic Selection—0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
A Survey on Graph Condensation—0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
Decision Machines: Congruent Decision Trees—0
Improved Distributed Principal Component Analysis—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering—0
Improved model-free bounds for multi-asset options using option-implied information and deep learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified