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Showing 2201–2250 of 5629 papers

TitleStatusHype
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation—0
Efficient Deep Learning Using Non-Volatile Memory Technology—0
Accelerated CNN Training Through Gradient Approximation—0
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection—0
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges—0
Graph-based Approximate NN Search: A Revisit—0
GraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction—0
Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM)—0
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings—0
Gradient-Free Textual Inversion—0
Efficient Certified Defenses Against Patch Attacks on Image Classifiers—0
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization—0
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects—0
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows—0
Efficient Benchmarking of Language Models—0
Gradient-Free Structured Pruning with Unlabeled Data—0
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks—0
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge—0
Efficient Automatic Meta Optimization Search for Few-Shot Learning—0
Boosting Performance on ARC is a Matter of Perspective—0
Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores—0
Boosting Mobile CNN Inference through Semantic Memory—0
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring—0
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization—0
Efficient and High-Quality Neural Machine Translation with OpenNMT—0
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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