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Papers

Showing 10261050 of 5629 papers

TitleStatusHype
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral TransformationsCode1
DXSLAM: A Robust and Efficient Visual SLAM System with Deep FeaturesCode1
Accelerating Vision-Language Pretraining with Free Language ModelingCode1
Dynamic GPU Energy Optimization for Machine Learning Training WorkloadsCode1
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-TuningCode1
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel ConvolutionsCode1
DTL: Disentangled Transfer Learning for Visual RecognitionCode1
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded SystemsCode1
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 MinutesCode1
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth ImageCode1
Accelerating Translational Image Registration for HDR Images on GPUCode1
Bag of Tricks for Inference-time Computation of LLM ReasoningCode1
3D Small Object Detection with Dynamic Spatial PruningCode1
DSNAS: Direct Neural Architecture Search without Parameter RetrainingCode1
JIT-Masker: Efficient Online Distillation for Background MattingCode1
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward PropagationCode1
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN TrainingCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
DreamShard: Generalizable Embedding Table Placement for Recommender SystemsCode1
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range DataCode1
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence DraftingCode1
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless ThreadsCode1
DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle NetworksCode1
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