Meta-Learning
1,719 papers
Papers per year
1
1
1
2
2
1
1
2
1
4
4
3
9
25
54
139
198
266
238
268
232
205
62
'5
'10
'15
'20
'25
Papers
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving
ACL 2024
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner
ACL 2024
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
NeurIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NeurIPS 2024
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing
EMNLP 2024
SIG: Speaker Identification in Literature via Prompt-Based Generation
AAAI 2024
SmartPlay : A Benchmark for LLMs as Intelligent Agents
ICLR 2024
SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training
COLING 2024
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
EMNLP 2024
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
NeurIPS 2024
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
AAAI 2024
Symmetric Linear Bandits with Hidden Symmetry
NeurIPS 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
IJCAI 2024
SynPrompt: Syntax-aware Enhanced Prompt Engineering for Aspect-based Sentiment Analysis
COLING 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
CVPR 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning
AAAI 2024
Task-Agnostic Self-Distillation for Few-Shot Action Recognition
IJCAI 2024
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
ACL 2024
Teaching Language Models to Self-Improve through Interactive Demonstrations
NAACL 2024
Teaching Large Language Models to Self-Debug
ICLR 2024
Test-Time Personalization with Meta Prompt for Gaze Estimation
AAAI 2024
Text2Model: Text-based Model Induction for Zero-shot Image Classification
EMNLP 2024
The Expressive Power of Low-Rank Adaptation
ICLR 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NeurIPS 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
NeurIPS 2024