Showing 1–20 of 21 results
/ Date/ Name
Oct 24, 2017EagleMine: Vision-Guided Mining in Large GraphsApr 18, 2024One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model DiversityJul 29, 2023Fast Searching The Densest Subgraph And Decomposition With Local OptimalityMar 19, 2025Solla: Towards a Speech-Oriented LLM That Hears Acoustic ContextFeb 11, 2024Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?May 22, 2024Data-Free Federated Class Incremental Learning with Diffusion-Based Generative MemoryJan 25, 2022MonLAD: Money Laundering Agents Detection in Transaction StreamsJul 17, 2020Learning to Match Distributions for Domain AdaptationJul 2, 2018Balanced Distribution Adaptation for Transfer LearningSep 17, 2019Transfer Learning with Dynamic Distribution AdaptationMay 10, 2023Towards Better Graph Representation Learning with Parameterized Decomposition & FilteringJun 3, 2025Rethinking Machine Unlearning in Image Generation ModelsJun 2, 2025Rating Quality of Diverse Time Series Data by Meta-learning from LLM JudgmentMay 10, 2026Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic ReasoningNov 29, 2022Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood AggregationJul 19, 2018Visual Domain Adaptation with Manifold Embedded Distribution AlignmentSep 26, 2024ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face RecognitionAug 10, 2021AdaRNN: Adaptive Learning and Forecasting of Time SeriesMar 3, 2021Learning Invariant Representations across Domains and TasksMar 27, 2024SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks