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Showing 2326–2350 of 5629 papers

TitleStatusHype
FlashAttention-2: Faster Attention with Better Parallelism and Work PartitioningCode6
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and CalibrationCode0
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data VisualizationCode1
MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment—0
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training—0
CoTracker: It is Better to Track TogetherCode4
Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyondCode2
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image ModelsCode1
In-context Autoencoder for Context Compression in a Large Language ModelCode1
Differentiable Forward Projector for X-ray Computed TomographyCode2
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR—0
ReLoRA: High-Rank Training Through Low-Rank UpdatesCode5
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders—0
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU—0
Weakly-supervised positional contrastive learning: application to cirrhosis classificationCode1
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information RetrievalCode2
Carbon-Efficient Neural Architecture Search—0
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered EnvironmentsCode1
Improving Automatic Parallel Training via Balanced Memory Workload Optimization—0
Improving Address Matching using Siamese Transformer NetworksCode0
Unbalanced Optimal Transport: A Unified Framework for Object DetectionCode1
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles—0
GHOST: A Graph Neural Network Accelerator using Silicon Photonics—0
TinySiamese Network for Biometric Analysis—0
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning—0
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