2023 TOP Meta-Learning Conference Review

2023 年度的顶会和顶刊已经出炉，在此把关于 Meta-Learning 的部分筛选出来，以供后续学习，整理内容已同步在 Github。

人工智能

AAAI

paper	authors	code
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning	Haoyang Bi	url
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning	Weiguo Pian	url
Learning to Select Pivotal Samples for Meta Re-weighting	Yinjun Wu	url
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams	Yukun Cao	url
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting	Renhe Jiang	url
The Effect of Diversity in Meta-Learning	Ramnath Kumar	url
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning	Guodong Qi	url
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients	Yilang Zhang	url
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems	Qiancheng Xu	url
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability	Zhexiong Liu	url
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)	Bo Wu	none
Meta Learning in Decentralized Neural Networks: Towards More General AI	Yuwei Sun	none
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs	Zhenzhong Wang	none
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging	Fengyi Yang	none
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning	Rongxiang Weng	none
Quantum Multi-Agent Meta Reinforcement Learning	Won Joon Yun	none
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning	Yanan Wu	none
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning	Mingyang Wang	none
Training Meta-Surrogate Model for Transferable Adversarial Attack	Yunxiao Qin	none
Meta-Learning for Simple Regret Minimization	Javad Azizi	none
Meta-Auxiliary Learning for Adaptive Human Pose Prediction	Qiongjie Cui	none
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation	Wanqing Zhu	none
Multi-Domain Generalized Graph Meta Learning	Mingkai Lin	none

NeurlPS

paper	authors	code
Federated Learning via Meta-Variational Dropout	Insu Jeon	url
Making Scalable Meta Learning Practical	Sang Choe	url
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm	Qi CHEN	url
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification	Tianjun Ke	url
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition	Suyoung Lee	url
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach	Nurendra Choudhary	url
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects	Ahmed M. Alaa	url
Task-aware world model learning with meta weighting via bi-level optimization	Huining Yuan	url
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization	Jinbiao Chen	url
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning	JunHoo Lee	url
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL	Jacob Beck	url
Meta-Learning with Neural Bandit Scheduler	Yunzhe Qi	url
Train Hard, Fight Easy: Robust Meta Reinforcement Learning	Ido Greenberg	url
Learning Large-scale Neural Fields via Context Pruned Meta-Learning	Jihoon Tack	url
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder	Huiwon Jang	url
Context Shift Reduction for Offline Meta-Reinforcement Learning	Yunkai Gao	url
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning	Yuankun Jiang	none
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity	Weichao Mao	none
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning	Siyuan Sun	none
Meta-in-context learning in large language models	Julian Coda-Forno	none
Optimistic Meta-Gradients	Sebastian Flennerhag	none
MGDD: A Meta Generator for Fast Dataset Distillation	Songhua Liu	none
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model	cheng cheng	none
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning	Yizhou Zhang	none
Online Control for Meta-optimization	Xinyi Chen	none
Meta-Learning Adversarial Bandit Algorithms	Misha Khodak	none
Regularizing Neural Networks with Meta-Learning Generative Models	Shin'ya Yamaguchi	none
Online Constrained Meta-Learning: Provable Guarantees for Generalization	Siyuan Xu	none
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference	Basile Confavreux	none
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm	Qi Wang	none
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes	Alexandre Maraval	none
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks	Woojin Cho	none

ACL

paper	authors	code
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning	Zhenrui Yue	url
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning	Zhenrui Yue	url
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers	Damai Dai	url
Universal Information Extraction with Meta-Pretrained Self-Retrieval	Xin Cong. Bowen Yu	url
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning	Mozhdeh Gheini	none
Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training	Amir Pouran Ben Veyseh	none
Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation	Linjun Li	none
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning	Aaron Mueller	none
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models	Masoud Monajatipoor	none
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?	Chengwei Qin	none
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation	Menglong Lu	none

CVPR

paper	authors	code
Noisy Correspondence Learning with Meta Similarity Correction	Haochen Han	url
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn	Ondrej Bohdal	url
Diversity-Aware Meta Visual Prompting	Qidong Huang	url
MetaViewer: Towards A Unified Multi-View Representation	Ren Wang	url
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection	Wenda Zhao	url
Meta-Learning with a Geometry-Adaptive Preconditioner	Suhyun Kang	url
Meta-Personalizing Vision-Language Models to Find Named Instances in Video	Chun-Hsiao Yeh	url
Learning from Noisy Labels with Decoupled Meta Label Purifier	Yuanpeng Tu	url
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models	Dohwan Ko	url
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation	Bowen Zhang	url
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning	Yuqian Fu	url
XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection	Xian Yeow Lee	url
Compound Expression Recognition In-the-wild with AU-assisted Meta Multi-task Learning	Ximan Li	none
A Meta-learning Approach for Domain Generalisation across Visual Modalities in Vehicle Re-identification	Eleni Kamenou	none
Learning unbiased classifiers from biased data with meta-learning	Ruggero Ragonesi	none
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation	Zhenyi Wang	none
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding	Haoxuan Che	none
Meta Compositional Referring Expression Segmentation	Li Xu	none
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer	Hao Tang	none
Bi-Level Meta-Learning for Few-Shot Domain Generalization	Xiaorong Qin	none
Ground-Truth Free Meta-Learning for Deep Compressive Sampling	Xinran Qin	none
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level	Lianzhe Wang	none
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning	Zixuan Hu	none
Meta-Causal Learning for Single Domain Generalization	Jin Chen	none
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection	Berkan Demirel	none
A Meta-Learning Approach to Predicting Performance and Data Requirements	Achin Jain	none

ICML

paper	authors	code
Meta Optimal Transport	Brandon Amos	url
Meta-Learning the Inductive Bias of Simple Neural Circuits	Will Dorrell	url
Meta-learning Parameterized Skills	Haotian Fu	url
Memory-Based Meta-Learning on Non-Stationary Distributions	Tim Genewein	url
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning	Thomas Miconi	url
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL	Fei Ni	url
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization	Jiwoo Son	url
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks	Wenfang Sun	url
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation	Jianhao Wang	url
Adaptive Compositional Continual Meta-Learning	Bin Wu	url
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning	Evan Zheran Liu	none
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks	Shibo Li	none
Effective Structured Prompting by Meta-Learning and Representative Verbalizer	Weisen Jiang	none
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning	Zixuan Hu	none
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation	Ronghao Dang	none

IJCAI

paper	authors	code
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator	Shuhei Watanabe	url
Graph Sampling-based Meta-Learning for Molecular Property Prediction	Xiang Zhuang	url
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification	Menglong Lu	none

数据库/数据挖掘/内容检索

SIGMOD

未查阅到相关文献。

SIGKDD

paper	authors	code
Contrastive Meta-Learning for Few-shot Node Classification	Song Wang	url
Meta Graph Learning for Long-tail Recommendation	Chunyu Wei	url
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting	Lifan Zhao	url
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation	Siqi Lai	url
Meta Multi-agent Exercise Recommendation: A Game Application Perspective	Fei Liu	none

ICDE

paper	authors	code
Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract)	Jing Li	none
LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction	Meng Jiang	none
Community Search: A Meta-Learning Approach	Shuheng Fang	none
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning	Yukun Cao	none
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection	Tianyu Mu	none

SIGIR

paper	authors	code

VLDB