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Showing 2851–2900 of 5629 papers

TitleStatusHype
Hybrid-Regressive Neural Machine Translation—0
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint ReductionCode1
High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration—0
High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning—0
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference—0
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation ModelsCode3
An efficient deep neural network to find small objects in large 3D imagesCode1
HQNAS: Auto CNN deployment framework for joint quantization and architecture search—0
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
An Efficient FPGA Accelerator for Point Cloud—0
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and RethinkingCode1
Pareto-aware Neural Architecture Generation for Diverse Computational BudgetsCode0
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer—0
Behavioral graph fraud detection in E-commerce—0
Latency-aware Spatial-wise Dynamic NetworksCode1
An Exploration of Hierarchical Attention Transformers for Efficient Long Document ClassificationCode0
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training—0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement—0
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule NetworksCode0
Rieoptax: Riemannian Optimization in JAXCode0
Fine-Tuning Pre-trained Transformers into Decaying Fast WeightsCode1
Deep Learning Inference Frameworks BenchmarkCode0
Noise-Robust De-Duplication at ScaleCode1
Online Training Through Time for Spiking Neural NetworksCode1
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPUCode0
Leveraging progressive model and overfitting for efficient learned image compression—0
Data-Efficiency with a Single GPU: An Exploration of Transfer Methods for Small Language Models—0
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage—0
Cloud Native Robotic Applications with GPU Sharing on Kubernetes—0
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length InputsCode2
DreamShard: Generalizable Embedding Table Placement for Recommender SystemsCode1
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption—0
Streaming Video Analytics On The Edge With Asynchronous Cloud Support—0
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning—0
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningCode1
MSRL: Distributed Reinforcement Learning with Dataflow Fragments—0
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP—0
NeuroEvo: A Cloud-based Platform for Automated Design and Training of Neural Networks using Evolutionary and Particle Swarm Algorithms—0
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need—0
An In-depth Study of Stochastic BackpropagationCode1
Graph Neural Networks for Link Prediction with Subgraph SketchingCode1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving—0
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight AveragingCode1
Lightweight Monocular Depth Estimation with an Edge Guided Network—0
MLink: Linking Black-Box Models from Multiple Domains for Collaborative InferenceCode1
Efficient block contrastive learning via parameter-free meta-node approximationCode0
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy PhysicsCode1
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