Co-occurring keywords · papers mentioning both
Papers
Enhancing Low-Resource Relation Representations through Multi-View Decoupling
AAAI 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
ICLR 2024
Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need
ACL 2024
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques
SemEval 2024
Evaluating the Efficacy of Large Acoustic Model for Documenting Non-Orthographic Tribal Languages in India
COLING 2024
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
CVPR 2024
Event Detection from Social Media for Epidemic Prediction
NAACL 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets
Interspeech 2024
Exploring Compositional Generalization of Large Language Models
NAACL 2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
IJCAI 2024
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning
Interspeech 2024
Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection
CVPR 2024
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties
EACL 2024
Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation
COLING 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
CVPR 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
CVPR 2024
Extending the BabyLM Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora
CoNLL 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
ICLR 2024
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation
WACV 2024
FakeSound: Deepfake General Audio Detection
Interspeech 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
ICLR 2024
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models
COLING 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
ICLR 2024
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
ICML 2024