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Meta-Learning

357 directly classified papers

Papers per year

Papers

VRP-SAM: SAM with Visual Reference Prompt CVPR 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NIPS 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 2024
Visually Guided Audio Source Separation With Meta Consistency Learning WACV 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NIPS 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024
FREE: Faster and Better Data-Free Meta-Learning CVPR 2024
AlphaMath Almost Zero: Process Supervision without Process NIPS 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors ICCV 2023
Transformers Learn In-Context by Gradient Descent ICML 2023
Enhanced Meta Label Correction for Coping with Label Corruption ICCV 2023
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service EMNLP 2023
Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NIPS 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction AAAI 2023
Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery ICCV 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023
Finding Support Examples for In-Context Learning EMNLP 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning NIPS 2023