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Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
Paper • 2401.13206 • Published -
A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection
Paper • 2507.15291 • Published • 1 -
Over-The-Air Double-Threshold Deep Learner for Jamming Detection in 5G RF domain
Paper • 2403.02645 • Published -
Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments
Paper • 2402.00878 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2402.13616
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Ultralytics/YOLOv8
Object Detection • Updated • 6.31k • 300 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Paper • 1906.02569 • Published • 1 -
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
Paper • 2309.11585 • Published
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Aria Everyday Activities Dataset
Paper • 2402.13349 • Published • 31 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 35 -
Evaluating D-MERIT of Partial-annotation on Information Retrieval
Paper • 2406.16048 • Published • 35
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 35
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YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Vision Transformers Need Registers
Paper • 2309.16588 • Published • 83 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 30 -
SAMPart3D: Segment Any Part in 3D Objects
Paper • 2411.07184 • Published • 28
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Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
Paper • 2401.13206 • Published -
A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection
Paper • 2507.15291 • Published • 1 -
Over-The-Air Double-Threshold Deep Learner for Jamming Detection in 5G RF domain
Paper • 2403.02645 • Published -
Radio Map Estimation -- An Open Dataset with Directive Transmitter Antennas and Initial Experiments
Paper • 2402.00878 • Published • 1
-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 134 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 35
-
Ultralytics/YOLOv8
Object Detection • Updated • 6.31k • 300 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Paper • 1906.02569 • Published • 1 -
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
Paper • 2309.11585 • Published
-
Aria Everyday Activities Dataset
Paper • 2402.13349 • Published • 31 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 35 -
Evaluating D-MERIT of Partial-annotation on Information Retrieval
Paper • 2406.16048 • Published • 35
-
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 49 -
Vision Transformers Need Registers
Paper • 2309.16588 • Published • 83 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 30 -
SAMPart3D: Segment Any Part in 3D Objects
Paper • 2411.07184 • Published • 28