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 4181–4190 of 4891 papers

TitleStatusHype
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
DPERC: Direct Parameter Estimation for Mixed Data—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator—0
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation—0
DRL-based Dolph-Tschebyscheff Beamforming in Downlink Transmission for Mobile Users—0
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs—0
Show:102550
← PrevPage 419 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified