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Papers

Showing 16511675 of 5629 papers

TitleStatusHype
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and QuantizationCode1
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge GraphsCode1
Fast evaluation of spherical harmonics with sphericartCode1
FastFlowNet: A Lightweight Network for Fast Optical Flow EstimationCode1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksCode1
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete GraphCode1
SoTaNa: The Open-Source Software Development AssistantCode1
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference CostsCode1
Faster than FAST: GPU-Accelerated Frontend for High-Speed VIOCode1
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysisCode1
FastFormers: Highly Efficient Transformer Models for Natural Language UnderstandingCode1
Efficient Forward Architecture SearchCode1
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense NormalizationCode1
Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane FeaturesCode1
Spatio-Spectral Graph Neural NetworksCode1
SPDY: Accurate Pruning with Speedup GuaranteesCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework DesignCode1
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
Lite Transformer with Long-Short Range AttentionCode1
Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment AnythingCode1
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes0
Architecture Search of Dynamic Cells for Semantic Video Segmentation0
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization0
Comparative Analysis of CPU and GPU Profiling for Deep Learning Models0
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