Information Bottleneck

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Speaker-Invariant Representation Learning for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck

 🧠Machine Learning  Content type: Academic
arxiv.org·
Less-relevant results

The Wrong Epsilon to the Brain

 🧠Machine Learning
hari.computer··Hacker News

Jürgen Schmidhuber - World Models, RL, and the Year that chang…

 🧠Machine Learning

Deep Learning Weekly: Issue 458

 👁️Observatory Systems

IB-HFN: Information Bottleneck-Driven SAR-Optical Fusion Network for High-Fidelity Cloud Removal

 📊Rate-Distortion Theory  Content type: Academic
arxiv.org·

Information Bottleneck Meets Quantization: Finite Rate Analysis and Optimal Designs

 📊Rate-Distortion Theory  Content type: Academic
arxiv.org·

What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents

 🧠Machine Learning  Content type: Academic
arxiv.org·

Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks

 📊Rate-Distortion Theory  Content type: Academic
arxiv.org·

Towards Pretraining Text Encoders for TabPFN

 🧠Machine Learning  Content type: Academic
arxiv.org·

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning

 📈Mutual Information  Content type: Academic
arxiv.org·

Support sufficiency as action-sufficient compression: a single-cycle rate-regret formulation

 📊Rate-Distortion Theory  Content type: Academic
arxiv.org·

CleanCodec: Efficient and Robust Speech Tokenization via Perceptually Guided Encoding

 🔤Character Classification  Content type: Academic
arxiv.org·

Cosine Misleads: Auxiliary Losses Reshape Vision Language Models, Not Their Latents

 📐Vector Similarity  Content type: Academic
arxiv.org·

Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability

 🧠Machine Learning  Content type: Academic
arxiv.org·

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