Context Guided Transformer Entropy Modeling for Video Compression
arxiv.org·1d
🧠Learned Codecs
SAT Requires Exhaustive Search
link.springer.com·1d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Understanding Information Gain: Choosing the Right Questions
dev.to·3h·
Discuss: DEV
🧠Machine Learning
(BT) Diversity from (LC) Diversity
golem.ph.utexas.edu·12h
🧮Kolmogorov Complexity
Estimating Worst-Case Frontier Risks of Open-Weight LLMs
arxiv.org·59m
💻Local LLMs
Efficient Chambolle-Pock based algorithms for Convoltional sparse representation
arxiv.org·1d
👁️Perceptual Hashing
ProCut: LLM Prompt Compression via Attribution Estimation
arxiv.org·1d
⚙️Compression Benchmarking
Trainable Dynamic Mask Sparse Attention
arxiv.org·1d
📊Learned Metrics
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
arxiv.org·59m
📊Learned Metrics
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation
arxiv.org·59m
🤖Advanced OCR
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
arxiv.org·59m
🌀Riemannian Computing
Data Overdose? Time for a Quadruple Shot: Knowledge Graph Construction using Enhanced Triple Extraction
arxiv.org·59m
🔍Information Retrieval
Likelihood Matching for Diffusion Models
arxiv.org·59m
🧠Machine Learning
Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
arxiv.org·1d
💻Local LLMs
BOOST: Bayesian Optimization with Optimal Kernel and Acquisition Function Selection Technique
arxiv.org·1d
🧠Machine Learning
Mechanistic View of Transformers: Patterns, Messages, Residual Stream… and LSTMs
towardsdatascience.com·12h
🌊Streaming Algorithms
🎭 Compressing Human Faces with VAE vs VQ-VAE — A Deep Dive into Autoencoder Design
dev.to·11h·
Discuss: DEV
📊Quantization
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
arxiv.org·59m
🧠Machine Learning
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·1d
💻Local LLMs
Open Sourced: ML Interview Questions and Job List (Ranked by Comp and Culture)
github.com·12h·
Discuss: Hacker News
🧠Machine Learning