Meta-Learning
1,719 papers
Papers per year
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Papers
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AutoML 2022
On Utilizing Constituent Language Resources to Improve Downstream Tasks in Hinglish
EMNLP 2022
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training
NeurIPS 2022
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
EMNLP 2022
PAC Prediction Sets for Meta-Learning
NeurIPS 2022
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
CVPR 2022
Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates
NeurIPS 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
ICLR 2022
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
EMNLP 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
ICML 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play
CoRL 2022
Practical Conditional Neural Process Via Tractable Dependent Predictions
ICLR 2022
Pre-training to Match for Unified Low-shot Relation Extraction
ACL 2022
Prompt-Based Meta-Learning For Few-shot Text Classification
EMNLP 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD
NeurIPS 2022
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
ICLR 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
CVPR 2022
Rapid Model Architecture Adaption for Meta-Learning
NeurIPS 2022
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
ICLR 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
ICML 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
ICML 2022
Sample-Then-Optimize Batch Neural Thompson Sampling
NeurIPS 2022
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation
AutoML 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
EMNLP 2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
ICLR 2022