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🧠 Machine Learning

Information Theory, Compression Bounds, Feature Learning, Neural Networks

JSQA: Speech Quality Assessment with Perceptually-Inspired Contrastive Pretraining Based on JND Audio Pairs
arxiv.org·10h
🎧Learned Audio
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
arxiv.org·2d
🧠Neural Codecs
The Role of Rank in Mismatched Low-Rank Symmetric Matrix Estimation
arxiv.org·10h
📐Linear Algebra
Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting
arxiv.org·2d
📈Time Series
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·1d
🧮Kolmogorov Complexity
Robust-Multi-Task Gradient Boosting
arxiv.org·1d
📊Learned Metrics
A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
arxiv.org·10h
🤐Secure Multiparty
A parametric activation function based on Wendland RBF
arxiv.org·1d
📊Quantization
What are Vectors and Matrices?
dev.to·2d·
Discuss: DEV
📐Linear Algebra
Identifying Signatures of Image Phenotypes to Track Treatment Response in Liver Disease
arxiv.org·10h
🕸️Algebraic Topology
Imbalanced Regression Pipeline Recommendation
arxiv.org·10h
⚖️Feed Ranking
Compressed data structures for Heegaard splittings
arxiv.org·1d
🕳️Persistent Homology
Incomplete Multiview Learning via Wyner Common Information
arxiv.org·2d
⧗Information Bottleneck
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
arxiv.org·10h
⧗Information Bottleneck
The Bayesian Approach to Continual Learning: An Overview
arxiv.org·2d
🎛️Feed Filtering
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
arxiv.org·2d
⧗Information Bottleneck
Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
arxiv.org·10h
📏Linear Logic
Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis
arxiv.org·10h
🤖Advanced OCR
A Multimodal Data Fusion Generative Adversarial Network for Real Time Underwater Sound Speed Field Construction
arxiv.org·10h
🎧Vorbis Encoding
An Adaptive Volatility-based Learning Rate Scheduler
arxiv.org·1d
⚡Incremental Computation
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