Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
🕸️Graph Embeddings
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De Bruijn Numerals
λLambda Encodings
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Building a Rules Engine from First Principles
towardsdatascience.com·1d
🔗Combinatory Logic
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REVEAL: A large-scale comprehensive image dataset for steganalysis
sciencedirect.com·1d
🕵️Steganographic Archives
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Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
arxiv.org·16h
📊Learned Metrics
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A problem that takes quantum computers an unfathomable amount of time to solve
phys.org·9h
⚛️Quantum Storage
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KARIPAP: Quantum-Inspired Tensor Network Compression of Large Language Models Using Infinite Projected Entangled Pair States and Tensor Renormalization Group
arxiv.org·3d
🕸️Tensor Networks
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Geometric Nets: Unleashing the Power of Shape in AI by Arvind Sundararajan
🌀Differential Geometry
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Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
arxiv.org·16h
📊Rate-Distortion Theory
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Everything About Transformers
krupadave.com·1d
📝Text Parsing
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Quantum-Resistant Federated Learning with Lattice-Based Homomorphic Encryption for Edge AI Systems
🔐Homomorphic Encryption
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Advancing Forest Fires Classification using Neurochaos Learning
arxiv.org·16h
🧠Machine Learning
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
🧮Vector Embeddings
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Deep Reinforcement Learning Book
🧠Machine Learning
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Information-Theoretic Discrete Diffusion
arxiv.org·2d
📡Information theory
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·3d
📊Learned Metrics
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Oops, My UUIDs Collided
🧪Binary Fuzzing
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