Deep Learning
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
However, these methods still suffer from an over-generalization issue and fail to deliver consistently high performance.
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
With more than 4.5 million patent documents, HUPD is two to three times larger than comparable corpora.
Norm-guided latent space exploration for text-to-image generation
They map random samples (seeds) from a high-dimensional space, conditioned on a user-provided text prompt, to a corresponding image.
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
Large language models (LLMs) have rapidly advanced and demonstrated impressive capabilities.
A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
Furthermore, we propose an adapted embedding method to incorporate numerical awareness.
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
Whole slide image (WSI) analysis is gaining prominence within the medical imaging field.
AutoPSV: Automated Process-Supervised Verifier
PSV) to enhance the reasoning capabilities of large language models (LLMs) by automatically annotating the reasoning steps.
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
The code is available here.