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Showing 2226–2250 of 5629 papers

TitleStatusHype
Anant-Net: Breaking the Curse of Dimensionality with Scalable and Interpretable Neural Surrogate for High-Dimensional PDEs—0
Gradient-free Decoder Inversion in Latent Diffusion Models—0
Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling—0
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication—0
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation—0
Bolt3D: Generating 3D Scenes in Seconds—0
Efficient Adversarial Attacks for Visual Object Tracking—0
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions—0
GpuShareSat: a SAT solver using the GPU for clause sharing—0
A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL—0
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss—0
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment—0
GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures—0
Edinburgh's Submissions to the 2020 Machine Translation Efficiency Task—0
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training—0
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms—0
Analyzing and Mitigating Data Stalls in DNN Training—0
BMF: Block matrix approach to factorization of large scale data—0
Analysis of Generalized Entropies in Mutual Information Medical Image Registration—0
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration—0
Edge-Enabled Real-time Railway Track Segmentation—0
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference—0
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference—0
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios—0
Analysis of Distributed Deep Learning in the Cloud—0
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