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Showing 3351–3400 of 5629 papers

TitleStatusHype
End-to-end Adaptive Distributed Training on PaddlePaddle—0
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
Learning Tracking Representations via Dual-Branch Fully Transformer NetworksCode1
Boosting Mobile CNN Inference through Semantic Memory—0
Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network InferenceCode1
3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity ChallengeCode1
Mesh Convolution with Continuous Filters for 3D Surface ParsingCode1
Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise TransformerCode1
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUsCode1
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU—0
Fast Neural Representations for Direct Volume RenderingCode1
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle AdjustmentCode1
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface ReconstructionCode1
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods—0
Low-Fidelity Video Encoder Optimization for Temporal Action Localization—0
360MonoDepth: High-Resolution 360° Monocular Depth EstimationCode1
gCastle: A Python Toolbox for Causal DiscoveryCode2
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANsCode1
MAPLE: Microprocessor A Priori for Latency Estimation—0
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion—0
Building extraction with vision transformer—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities—0
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine LearningCode1
Bayesian Optimization for auto-tuning GPU kernelsCode1
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection—0
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory RequirementsCode0
Gradient-SDF: A Semi-Implicit Surface Representation for 3D ReconstructionCode1
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network—0
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node FeaturesCode1
Subgraph Permutation Equivariant Networks—0
Generating GPU Compiler Heuristics using Reinforcement Learning—0
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields ReconstructionCode2
Fast and Data-Efficient Training of Rainbow: an Experimental Study on AtariCode1
FastDOG: Fast Discrete Optimization on GPUCode1
Rethinking Dilated Convolution for Real-time Semantic SegmentationCode1
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli SamplingCode1
Benchmarking and scaling of deep learning models for land cover image classificationCode1
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow SimulationCode1
Efficient Speech Translation with Pre-trained models—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
CGX: Adaptive System Support for Communication-Efficient Deep LearningCode1
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search—0
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive CrossbarsCode0
User Allocation in Mobile Edge Computing: A Deep Reinforcement Learning ApproachCode1
ParaFold: Paralleling AlphaFold for Large-Scale PredictionsCode1
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation—0
Graph Neural Network Training with Data Tiering—0
Accelerating GAN training using highly parallel hardware on public cloud—0
FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance—0
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