AI
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Researchers have developed a new approach to characterizing equivariant linear layers for representa...
AI
NeST: Neighborhood-aware semantic alignment and temporal modulation for LLM based time series forecasting
Researchers have developed a new framework called NeST that improves the performance of large langua...
AI
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Researchers have developed a new approach called Shared Recurrent Memory Transformer (SRMT) for mult...
AI
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
Researchers have developed a new method to detect harmful content on social media platforms using la...
AI
Bringing Generative Learning to Representation Learning: Self-Supervised Transfer Learning as Distribution Matching
Researchers have proposed a new framework for self-supervised learning called Di...
AI
SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging
Researchers have developed a data augmentation technique called Segment Anything...
AI
Deep Contrastive Unlearning for Language Models
Researchers have proposed a new framework called Deep Contrastive Unlearning for...
AI
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
Researchers have proposed a new approach to improve the performance of large lan...