2024 "meta-learning" Papers

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

Jing Wang, Jiangyun Li, Chen Chen et al.

A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness

Xiaochuan Gong, Jie Hao, Mingrui Liu

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Mo Yu, Qiujing Wang, Shunchi Zhang et al.

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

Fine-Grained Prototypes Distillation for Few-Shot Object Detection

Zichen Wang, Bo Yang, Haonan Yue et al.

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks

Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann et al.

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

Da Wang, Lin Li, Wei Wei et al.

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds

Yuyang Zhang, Shahriar Talebi, Na Li

Learning Modality Knowledge Alignment for Cross-Modality Transfer

Wenxuan Ma, Shuang Li, Lincan Cai et al.

Learning to Continually Learn with the Bayesian Principle

Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.

Learning Universal Predictors

Jordi Grau-Moya, Tim Genewein, Marcus Hutter et al.

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

Jiarong Pan, Stefan Falkner, Felix Berkenkamp et al.

Memory Efficient Neural Processes via Constant Memory Attention Block

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

Baoquan Zhang, Chuyao Luo, Demin Yu et al.

Meta Evidential Transformer for Few-Shot Open-Set Recognition

Hitesh Sapkota, Krishna Neupane, Qi Yu

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

One Meta-tuned Transformer is What You Need for Few-shot Learning

Xu Yang, Huaxiu Yao, Ying WEI

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

Test-Time Personalization with Meta Prompt for Gaze Estimation

Huan Liu, Julia Qi, Zhenhao Li et al.