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transfer learning

5442 papers

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Also known as

TANDA HTL TL ULMFIT TRL

Co-occurring keywords

domain adaptation (4578) text classification (6776) representation learning (6174) few-shot learning (3390) multi-task learning (2556) language model (4573) zero-shot learning (3637) low-resource language (2234) knowledge distillation (3680) large language model (12755)

Papers

TIES-Merging: Resolving Interference When Merging Models NIPS 2023
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting NIPS 2023
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks CVPR 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features NIPS 2023
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation CVPR 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NIPS 2023
Syllogistic Reasoning for Legal Judgment Analysis EMNLP 2023
Towards the First Named Entity Recognition of Inuktitut for an Improved Machine Translation ACL 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NIPS 2023
Your representations are in the network: composable and parallel adaptation for large scale models NIPS 2023
Language Semantic Graph Guided Data-Efficient Learning NIPS 2023
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings NIPS 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NIPS 2023
Foundation Model is Efficient Multimodal Multitask Model Selector NIPS 2023
Video Prediction Models as Rewards for Reinforcement Learning NIPS 2023
Textually Pretrained Speech Language Models NIPS 2023
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation NIPS 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning NIPS 2023
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits NIPS 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data NIPS 2023
LOVM: Language-Only Vision Model Selection NIPS 2023
Active Learning-Based Species Range Estimation NIPS 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging NIPS 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression NIPS 2023