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Showing 3951–4000 of 5629 papers

TitleStatusHype
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency—0
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU ServersCode0
Scalable Graph Embedding LearningOn A Single GPU—0
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters—0
Across-Task Neural Architecture Search via Meta Learning—0
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure—0
Two-level Group Convolution—0
Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models—0
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks—0
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining—0
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning—0
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks—0
Efficient GPU implementation of randomized SVD and its applications—0
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement—0
Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based SimulationsCode0
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations—0
Scheduling Optimization Techniques for Neural Network Training—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
Implementation of Parallel Simplified Swarm Optimization in CUDA—0
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads—0
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception—0
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths—0
DFSSATTEN: Dynamic Fine-grained Structured Sparse Attention Mechanism—0
Adaptive Graph Capsule Convolutional Networks—0
Coarformer: Transformer for large graph via graph coarsening—0
P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization—0
Fast and Efficient Once-For-All Networks for Diverse Hardware Deployment—0
Not-so fine-tuning: Measures of Common Sense for Language Models—0
SpSC: A Fast and Provable Algorithm for Sampling-Based GNN Training—0
InterTrain: Accelerating DNN Training using Input Interpolation—0
EXPLAINABLE AI-BASED DYNAMIC FILTER PRUNING OF CONVOLUTIONAL NEURAL NETWORKS—0
CDPS: Constrained DTW-Preserving Shapelets—0
Automated Channel Pruning with Learned Importance—0
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
Understanding the Role of Self Attention for Efficient Speech Recognition—0
An Investigation on Hardware-Aware Vision Transformer Scaling—0
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks—0
Scalable Sinkhorn Backpropagation—0
Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation—0
ZenDet: Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search—0
Embedding Compression with Hashing for Efficient Representation Learning in Graph—0
Ambiguity Adaptive Inference and Single-shot based Channel Pruning for Satellite Processing Environments—0
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional dataCode0
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulationsCode0
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration—0
MODNet-V: Improving Portrait Video Matting via Background RestorationCode0
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation—0
Emulating Aerosol Microphysics with Machine Learning—0
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection—0
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