conftrace_
← Keywords

few-shot learning

3398 papers

Explore in graph

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

RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners COLING 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024
Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction EACL 2024
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting AAAI 2024
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation AAAI 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024
WeditGAN: Few-Shot Image Generation via Latent Space Relocation AAAI 2024
On the Effects of Data Scale on UI Control Agents NIPS 2024
EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition NAACL 2024
Few-Shot Keyword Spotting from Mixed Speech INTERSPEECH 2024
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks INTERSPEECH 2024
Language Models Don’t Learn the Physical Manifestation of Language ACL 2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation INTERSPEECH 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning ACL 2024
Learning to Learn Better Visual Prompts AAAI 2024
Data-Efficient Graph Learning AAAI 2024
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks EACL 2024
JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far NAACL 2024
A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024
MUCS@LT-EDI-2024: Learning Approaches to Empower Homophobic/Transphobic Comment Identification EACL 2024
LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings EACL 2024