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Papers

Showing 31013125 of 5629 papers

TitleStatusHype
Gator: Customizable Channel Pruning of Neural Networks with GatingCode0
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic HardwareCode1
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law0
Fast Nonlinear Vector Quantile RegressionCode1
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly0
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessCode6
Green Hierarchical Vision Transformer for Masked Image ModelingCode1
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps0
Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection0
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections0
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and VisionCode0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture0
FFHNet : Generating Multi-Fingered Robotic Grasps for Unknown Objects in Real-timeCode1
DOGE-Train: Discrete Optimization on GPU with End-to-end TrainingCode1
Co-design of Embodied Neural Intelligence via Constrained Evolution0
Lightweight Human Pose Estimation Using Heatmap-Weighting Loss0
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with LocalityCode0
EXODUS: Stable and Efficient Training of Spiking Neural NetworksCode1
Lossless Acceleration for Seq2seq Generation with Aggressive DecodingCode0
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services0
SOL: Reducing the Maintenance Overhead for Integrating Hardware Support into AI Frameworks0
Estimating the randomness of quantum circuit ensembles up to 50 qubits0
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless DiscretizationsCode1
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