Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·1d
📊Gradient Accumulation
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Humans and neural networks show similar patterns of transfer and interference
👁️Attention Optimization
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Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
arxiv.org·21h
🔄ONNX
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Accelerated Dielectric Barrier Coating Optimization via Multi-Modal Data Fusion & Bayesian Hyperparameter Tuning
⏱️Benchmarking
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VLM6D: VLM based 6Dof Pose Estimation based on RGB-D Images
arxiv.org·21h
🧮cuDNN
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Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling
arxiv.org·21h
📊Gradient Accumulation
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
🤖AI Coding Tools
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Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
arxiv.org·21h
🔄ONNX
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Enhancing riverine cyanobacterial bloom prediction: A hybrid deep learning approach combining wavelet decomposition, double-layer LSTM, ARIMA, and residual comp...
sciencedirect.com·11h
📊Gradient Accumulation
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Spatial Incompatibility Witnesses for Quantum Temporal Correlations
arxiv.org·21h
🔗Kernel Fusion
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Eyes on Target: Gaze-Aware Object Detection in Egocentric Video
arxiv.org·21h
👁️Attention Optimization
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·1d
🤖AI Coding Tools
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
🔄ONNX
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VISAT: Benchmarking Adversarial and Distribution Shift Robustness in Traffic Sign Recognition with Visual Attributes
arxiv.org·1d
🧮cuDNN
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Molecular Alchemy: AI-Powered Design of Novel Compounds by Arvind Sundararajan
🎓Model Distillation
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·21h
👁️Attention Optimization
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·21h
📊Gradient Accumulation
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Extensive FPGA and ASIC resource comparison for blind I/Q imbalance estimators and compensators
sciencedirect.com·10h
🎯Tensor Cores
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