SOTAVerified

GPU

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4251–4300 of 5629 papers

TitleStatusHype
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification—0
Survey of HPC in US Research Institutions—0
Survey on Large Scale Neural Network Training—0
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach—0
Sustainable AI Processing at the Edge—0
Sustainable self-supervised learning for speech representations—0
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale—0
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks—0
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget—0
SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale—0
SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs—0
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight—0
SwinGS: Sliding Window Gaussian Splatting for Volumetric Video Streaming with Arbitrary Length—0
Switchable Normalization for Learning-to-Normalize Deep Representation—0
Switching Loss for Generalized Nucleus Detection in Histopathology—0
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning—0
Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling—0
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters—0
Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning—0
SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions—0
Systolic Computing on GPUs for Productive Performance—0
Takin-ADA: Emotion Controllable Audio-Driven Animation with Canonical and Landmark Loss Optimization—0
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching—0
Taming the Memory Beast: Strategies for Reliable ML Training on Kubernetes—0
Tampered VAE for Improved Satellite Image Time Series Classification—0
Tango: A Deep Neural Network Benchmark Suite for Various Accelerators—0
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms—0
TAPAS: Train-less Accuracy Predictor for Architecture Search—0
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications—0
SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training—0
TBD: Benchmarking and Analyzing Deep Neural Network Training—0
TDACloud: Point Cloud Recognition Using Topological Data Analysis—0
Tea Chrysanthemum Detection under Unstructured Environments Using the TC-YOLO Model—0
Tech Report: One-stage Lightweight Object Detectors—0
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models—0
Tele-Aloha: A Low-budget and High-authenticity Telepresence System Using Sparse RGB Cameras—0
TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval—0
Real-time Visual Object Tracking with Natural Language Description—0
Temporal Action Detection Model Compression by Progressive Block Drop—0
TemporalNet: Real-time 2D-3D Video Object Detection—0
TENSILE: A Tensor granularity dynamic GPU memory scheduling method toward multiple dynamic workloads system—0
TensorBank: Tensor Lakehouse for Foundation Model Training—0
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training—0
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning—0
Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems—0
Tensor Relational Algebra for Machine Learning System Design—0
TensorSocket: Shared Data Loading for Deep Learning Training—0
TensorX: Extensible API for Neural Network Model Design and Deployment—0
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient—0
TETRIS: TilE-matching the TRemendous Irregular Sparsity—0
Show:102550
← PrevPage 86 of 113Next →

No leaderboard results yet.