conftrace_

few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels NIPS 2023

Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NIPS 2023

Few Shot Hematopoietic Cell Classification MIDL 2023

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays MIDL 2023

Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics MIDL 2023

Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023

On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining CONLL 2023

Finetuning Offline World Models in the Real World CORL 2023

Policy Stitching: Learning Transferable Robot Policies CORL 2023

Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation CORL 2023

On the informativeness of supervision signals UAI 2023

DeepGD3: Unknown-Aware Deep Generative/Discriminative Hybrid Defect Detector for PCB Soldering Inspection UAI 2023

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations RSS 2023

Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023

Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets RSS 2023

Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift RSS 2023

PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners EACL 2023

Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation EACL 2023

K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification EACL 2023

Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information EACL 2023

Assessing Out-of-Domain Language Model Performance from Few Examples EACL 2023

Bootstrapping Multilingual Semantic Parsers using Large Language Models EACL 2023

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains EACL 2023

Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training EACL 2023

Scalable Prompt Generation for Semi-supervised Learning with Language Models EACL 2023