Investigating learning-independent abstract reasoning in artificial neural networks
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Gzip versus bag-of-words for text classification with k-NN
DIRAC: Neural Image Compression with a Diffusion-Based Decoder
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T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
MuZero with Self-competition for Rate Control in VP9 Video Compression
A deep dive into an NSO zero-click iMessage exploit: Remote Code Execution
Rip van Winkle’s Razor, a Simple New Estimate for Adaptive Data Analysis
Why are tar.xz files 15× smaller when using Python’s tar library compared to macOS tar?
Rip van Winkle’s Razor: A Simple Estimate of Overfit to Test Data
Generative Speech Coding with Predictive Variance Regularization
1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
The 1-Bit Instrument: The Fundamentals of 1-Bit Synthesis, Their Implementational Implications, and Instrumental Possibilities
People Prefer Simpler Content When There Are More Choices: A Time Series Analysis of Lyrical Complexity in Six Decades of American Popular Music
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
Unraveling the JPEG: JPEG images are everywhere in our digital lives, but behind the veil of familiarity lie algorithms that remove details that are imperceptible to the human eye. This produces the highest visual quality with the smallest file size—but what does that look like? Let’s see what our eyes can’t see!
Practical Lossless Compression with Latent Variables using Bits Back Coding
BBhash: Fast and scalable minimal perfect hashing for massive key sets
Full Resolution Image Compression with Recurrent Neural Networks
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Universal Entropy of Word Ordering Across Linguistic Families
Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers
A Machine Learning Perspective on Predictive Coding With PAQ8 and New Applications
The Bayesian brain: the role of uncertainty in neural coding and computation
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The Art of Computer Programming, Volume 3: Sorting & Searching § Chapter 6, Searching: Hashing: History
THE ENTROPY OF ENGLISH USING PPM-BASED MODELS—Data Compression Conference, 1996. DCC '96. Proceedings
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