Deep Learning
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Out-of-Distribution (OOD) generalization in machine learning is a burgeoning area of study.
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Reinforcement Learning (RL) agents often learn policies that do not generalise across tasks in which the environmental features and optimal skills are different [des Combes et al., 2018, Garcin et al., 2024].
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Y upeng Zhou 1 Daquan Zhou 2 Ming-Ming Cheng
It is trained to estimate the motion conditions between two provided images in the semantic spaces.
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
LLMs, correcting errors or outdated responses while ensuring no negative impacts are created.
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
This work proposes a Bias-V olatility Framework (BVF) that estimates the probability distribution function of LLM stereotypes.
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Time Series Classification (TSC) encompasses two settings: classifying entire sequences or classifying segmented subsequences.