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TitleStatusHype
Pareto-Frontier-aware Neural Architecture Search—0
Fast MNAS: Uncertainty-aware Neural Architecture Search with Lifelong Learning—0
NASOA: Towards Faster Task-oriented Online Fine-tuning—0
EnTranNAS: Towards Closing the Gap between the Architectures in Search and Evaluation—0
TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture SearchCode1
Accelerating DNN Training through Selective Localized Learning—0
Local Clustering Graph Neural Networks—0
GINN: Fast GPU-TEE Based Integrity for Neural Network Training—0
LLBoost: Last Layer Perturbation to Boost Pre-trained Neural Networks—0
Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach—0
Efficient Differentiable Neural Architecture Search with Model Parallelism—0
Ego-Centric Spatial Memory Networks—0
CompOFA – Compound Once-For-All Networks for Faster Multi-Platform DeploymentCode1
Fast 3D Acoustic Scattering via Discrete Laplacian Based Implicit Function Encoders—0
I/O Lower Bounds for Auto-tuning of Convolutions in CNNs—0
Voxel R-CNN: Towards High Performance Voxel-based 3D Object DetectionCode1
A Tale of Two Efficient and Informative Negative Sampling Distributions—0
Vocabulary Learning via Optimal Transport for Neural Machine TranslationCode1
Adaptive Graph Diffusion NetworksCode1
TensorX: Extensible API for Neural Network Model Design and Deployment—0
SparsePipe: Parallel Deep Learning for 3D Point Clouds—0
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19Code0
BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training—0
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization—0
Evolving Neural Architecture Using One Shot ModelCode0
Sub-Linear Memory: How to Make Performers SLiMCode0
Searching for Controllable Image Restoration Networks—0
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead—0
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California—0
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation—0
Minimax Strikes Back—0
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers—0
When Machine Learning Meets Quantum Computers: A Case StudyCode1
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth—0
XResolution Correspondence NetworksCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
Learned Block-based Hybrid Image Compression—0
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning—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
PDFFlow: hardware accelerating parton density accessCode1
AsyncTaichi: On-the-fly Inter-kernel Optimizations for Imperative and Spatially Sparse Programming—0
CUDA-Optimized real-time rendering of a Foveated Visual SystemCode1
GEM: Online Globally consistent dense elevation mapping for unstructured terrainCode1
NVIDIA SimNet^TM: an AI-accelerated multi-physics simulation framework—0
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search—0
Bayesian Neural Ordinary Differential Equations—0
Understanding Image Retrieval Re-Ranking: A Graph Neural Network PerspectiveCode1
Real-Time High-Resolution Background MattingCode3
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