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Papers
Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning
AAAI 2024
Learning Grounded Action Abstractions from Language
ICLR 2024
Learning Representations for Robust Human-Robot Interaction
AAAI 2024
Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain
COLING 2024
Learning to design protein-protein interactions with enhanced generalization
ICLR 2024
Learning to Learn Better Visual Prompts
AAAI 2024
Learning to Plan by Updating Natural Language
EMNLP 2024
Learning Transferable Features for Implicit Neural Representations
NeurIPS 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection
CVPR 2024
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining
WACV 2024
Learning Vision from Models Rivals Learning Vision from Data
CVPR 2024
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction
ICLR 2024
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
CVPR 2024
LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text
EMNLP 2024
Less is Enough: Less-Resourced Multilingual AMR Parsing
COLING 2024
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
EMNLP 2024
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
WACV 2024
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
ACL 2024
Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English
ACL 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
AAAI 2024
Leveraging pre-trained large language models for aphasia detection in English and Chinese speakers
NAACL 2024
Leveraging Task-Specific Pre-Training To Reason Across Images and Videos
WACV 2024
Leveraging Web-Crawled Data for High-Quality Fine-Tuning
EMNLP 2024
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
EMNLP 2024
LG-CAV: Train Any Concept Activation Vector with Language Guidance
NeurIPS 2024