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Showing 1501–1550 of 2231 papers

TitleStatusHype
Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models—0
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast—0
Support Vector Machine Implementation on MPI-CUDA and Tensorflow Framework—0
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning—0
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight—0
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance—0
Symplectomorphic registration with phase space regularization by entropy spectrum pathways—0
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters—0
SySCD: A System-Aware Parallel Coordinate Descent Algorithm—0
SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions—0
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching—0
TangoBERT: Reducing Inference Cost by using Cascaded Architecture—0
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir—0
Target Localization in Cooperative ISAC Systems: A Scheme Based on 5G NR OFDM Signals—0
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach—0
T-BERT -- Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT—0
Tech Report: One-stage Lightweight Object Detectors—0
TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval—0
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services—0
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training—0
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training—0
Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems—0
TensorSocket: Shared Data Loading for Deep Learning Training—0
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing—0
Testing the Quantitative Spacetime Hypothesis using Artificial Narrative Comprehension (I) : Bootstrapping Meaning from Episodic Narrative viewed as a Feature Landscape—0
TETRIS: TilE-matching the TRemendous Irregular Sparsity—0
TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis—0
Textile Anomaly Detection: Evaluation of the State-of-the-Art for Automated Quality Inspection of Carpet—0
TFLMS: Large Model Support in TensorFlow by Graph Rewriting—0
TheanoLM - An Extensible Toolkit for Neural Network Language Modeling—0
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems—0
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding—0
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—0
The LHCb ultra-fast simulation option, Lamarr: design and validation—0
The Max-Cut Decision Tree: Improving on the Accuracy and Running Time of Decision Trees—0
The MIT Supercloud Dataset—0
The MIT Supercloud Workload Classification Challenge—0
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science—0
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization—0
The impact of climate policy uncertainty on financial market resilience: Evidence from China—0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning—0
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution—0
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning—0
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning—0
ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification—0
TimeRL: Efficient Deep Reinforcement Learning with Polyhedral Dependence Graphs—0
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems—0
Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression—0
Toward efficient resource utilization at edge nodes in federated learning—0
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