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Showing 4251–4300 of 5629 papers

TitleStatusHype
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition—0
LLBoost: Last Layer Perturbation to Boost Pre-trained Neural Networks—0
EnTranNAS: Towards Closing the Gap between the Architectures in Search and Evaluation—0
GINN: Fast GPU-TEE Based Integrity for Neural Network Training—0
Pareto-Frontier-aware Neural Architecture Search—0
Fast 3D Acoustic Scattering via Discrete Laplacian Based Implicit Function Encoders—0
Visual Transformers: Where Do Transformers Really Belong in Vision Models?—0
Ego-Centric Spatial Memory Networks—0
Out-of-Core Surface Reconstruction via Global TGV Minimization—0
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS—0
Faster and Smarter AutoAugment: Augmentation Policy Search Based on Dynamic Data-Clustering—0
Benchmarking Ultra-High-Definition Image Super-Resolution—0
Neural Architecture Search via Combinatorial Multi-Armed Bandit—0
Accelerating DNN Training through Selective Localized Learning—0
Efficient Differentiable Neural Architecture Search with Model Parallelism—0
Local Clustering Graph Neural Networks—0
NASOA: Towards Faster Task-oriented Online Fine-tuning—0
Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach—0
Fast MNAS: Uncertainty-aware Neural Architecture Search with Lifelong Learning—0
A Tale of Two Efficient and Informative Negative Sampling Distributions—0
I/O Lower Bounds for Auto-tuning of Convolutions in CNNs—0
TensorX: Extensible API for Neural Network Model Design and Deployment—0
SparsePipe: Parallel Deep Learning for 3D Point Clouds—0
Evolving Neural Architecture Using One Shot ModelCode0
BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training—0
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19Code0
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization—0
Sub-Linear Memory: How to Make Performers SLiMCode0
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead—0
Searching for Controllable Image Restoration Networks—0
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California—0
Minimax Strikes Back—0
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers—0
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation—0
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth—0
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning—0
Learned Block-based Hybrid Image Compression—0
On the performance of deep learning for numerical optimization: an application to protein structure prediction—0
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces—0
AsyncTaichi: On-the-fly Inter-kernel Optimizations for Imperative and Spatially Sparse Programming—0
NVIDIA SimNet^TM: an AI-accelerated multi-physics simulation framework—0
Improving Panoptic Segmentation at All Scales—0
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search—0
Bayesian Neural Ordinary Differential Equations—0
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers—0
Accelerating Simulation-based Inference with Emerging AI HardwareCode0
Reinforced Multi-Teacher Selection for Knowledge Distillation—0
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget—0
Ensemble-CVDNet: A Deep Learning based End-to-End Classification Framework for COVID-19 Detection using Ensembles of NetworksCode0
Enhanced Recurrent Neural Tangent Kernels for Non-Time-Series DataCode0
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