Knowledge-integrated AutoEncoder Model
arxiv.org·22h
🧠LLM Inference
ML Systems: Motivating Dense Models
jacobkahn.me·4h·
Discuss: Hacker News
🎯Vector Quantization
Natural Latents: Latent Variables Stable Across Ontologies
lesswrong.com·1h
🧩Types
Solving Deepfakes with Traces, Frequency, and Attention!
pub.towardsai.net·14h
🔢BitNet
How big are our embeddings now and why?
newsletter.vickiboykis.com·5h·
Discuss: Lobsters, Hacker News
📊Embeddings
Anisotropic Fourier Features for Positional Encoding in Medical Imaging
arxiv.org·22h
📊Embeddings
Convolutional Denoising Autoencoders for Diagnostic Images
haydenramm.bearblog.dev·15h
🔢BitNet
MILO: A Lightweight Perceptual Quality Metric for Image and Latent-Space Optimization
arxiv.org·22h
🎯Vector Quantization
Is BitNet Training Unstable?
reddit.com·8h·
Discuss: r/LocalLLaMA
🔢BitNet
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
arxiv.org·22h
📊Embeddings
A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
arxiv.org·22h
📊Embeddings
Understanding Transformers Using a Minimal Example
rti.github.io·10h·
Discuss: Hacker News, r/programming
🧠LLM Inference
A Unified Low-level Foundation Model for Enhancing Pathology Image Quality
arxiv.org·22h
📊Embeddings
Language-Aware Information Maximization for Transductive Few-Shot CLIP
arxiv.org·22h
🕸️Sparse Embeddings
DGL-RSIS: Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation
arxiv.org·22h
📊Vector Databases
Variational Uncertainty Decomposition for In-Context Learning
arxiv.org·22h
🧠LLM Inference
A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR
arxiv.org·22h
🗜️Zstd
Yet Unnoticed in LSTM: Binary Tree Based Input Reordering, Weight Regularization, and Gate Nonlinearization
arxiv.org·22h
🧠LLM Inference
Integrated Multivariate Segmentation Tree for the Analysis of Heterogeneous Credit Data in Small and Medium-Sized Enterprises
arxiv.org·22h
📊Vector Databases
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening
arxiv.org·22h
📊Embeddings