PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-CompactVision-Language Model
paperium.netยท20hยท
Discuss: DEV
๐Ÿ’กLSP
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Humans and neural networks show similar patterns of transfer and interference
nature.comยท6hยท
Discuss: Hacker News
๐Ÿ‘๏ธAttention Optimization
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.comยท1dยท
๐Ÿค–AI Coding Tools
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Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
arxiv.orgยท19h
๐Ÿ”„ONNX
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Spatial Incompatibility Witnesses for Quantum Temporal Correlations
arxiv.orgยท19h
๐Ÿ”—Kernel Fusion
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Eyes on Target: Gaze-Aware Object Detection in Egocentric Video
arxiv.orgยท19h
๐Ÿ‘๏ธAttention Optimization
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Molecular Alchemy: AI-Powered Design of Novel Compounds by Arvind Sundararajan
dev.toยท2hยท
Discuss: DEV
๐ŸŽ“Model Distillation
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LangChain vs LangGraph: A Beginnerโ€™s Guide to Building Smarter AI Workflows
hackernoon.comยท1d
๐Ÿค–AI Coding Tools
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
reddit.comยท21hยท
๐Ÿ”„ONNX
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VISAT: Benchmarking Adversarial and Distribution Shift Robustness in Traffic Sign Recognition with Visual Attributes
arxiv.orgยท1d
๐ŸงฎcuDNN
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.orgยท19h
๐Ÿ‘๏ธAttention Optimization
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.orgยท19h
๐Ÿ“ŠGradient Accumulation
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Extensive FPGA and ASIC resource comparison for blind I/Q imbalance estimators and compensators
sciencedirect.comยท8h
๐ŸŽฏTensor Cores
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Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning
arxiv.orgยท19h
โฑ๏ธBenchmarking
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.toยท4hยท
Discuss: DEV
๐Ÿ“ŠGradient Accumulation
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.orgยท19h
๐Ÿ“‰Model Quantization
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The Power of AI in Transforming Visual Marketing Strategies
dev.toยท1dยท
Discuss: DEV
๐Ÿ‘๏ธAttention Optimization
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MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
arxiv.orgยท19h
๐Ÿ“ŠGradient Accumulation
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Branched Signature Model
arxiv.orgยท19h
๐Ÿ”—Kernel Fusion
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