Transfer Learning
4,808 papers
Papers per year
1
2
1
5
7
6
3
9
13
11
41
22
19
61
149
186
299
439
518
605
705
746
904
56
'5
'10
'15
'20
'25
Papers
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
EACL 2024
NLPDame at ClimateActivism 2024: Mistral Sequence Classification with PEFT for Hate Speech, Targets and Stance Event Detection
EACL 2024
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness
SemEval 2024
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
CVPR 2024
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract)
AAAI 2024
Nuclear Fusion Diamond Polishing Dataset
NeurIPS 2024
OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts
SemEval 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NeurIPS 2024
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
ICML 2024
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
CVPR 2024
OmniMotionGPT: Animal Motion Generation with Limited Data
CVPR 2024
On Affine Homotopy between Language Encoders
NeurIPS 2024
On an Intermediate Task for Classifying URL Citations on Scholarly Papers
COLING 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
AAAI 2024
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
NeurIPS 2024
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
EMNLP 2024
One Step Learning, One Step Review
AAAI 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
CVPR 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
NeurIPS 2024
On Hypothesis Transfer Learning of Functional Linear Models
ICML 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NeurIPS 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
On the Robustness of Neural Models for Full Sentence Transformation
NAACL 2024