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Artificial Intelligence
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Learning Paradigms
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Transfer Learning
8,078 papers
Papers per year
2002: 2
2003: 1
2005: 3
2006: 5
2007: 12
2008: 7
2009: 7
2010: 16
2011: 15
2012: 13
2013: 35
2014: 32
2015: 40
2016: 72
2017: 149
2018: 341
2019: 619
2020: 711
2021: 992
2022: 980
2023: 1182
2024: 1282
2025: 1254
2026: 308
Papers
Your representations are in the network: composable and parallel adaptation for large scale models
NIPS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
NIPS 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
NIPS 2023
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
NIPS 2023
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NIPS 2023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
NIPS 2023
Foundation Model is Efficient Multimodal Multitask Model Selector
NIPS 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
NIPS 2023
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits
NIPS 2023
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures
NIPS 2023
Unpaired Multi-Domain Causal Representation Learning
NIPS 2023
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
NIPS 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
NIPS 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NIPS 2023
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
NIPS 2023
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
NIPS 2023
Counterfactual Memorization in Neural Language Models
NIPS 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
NIPS 2023
Score-based Data Assimilation
NIPS 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
NIPS 2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
NIPS 2023
Doubly-Robust Self-Training
NIPS 2023
Active Learning-Based Species Range Estimation
NIPS 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
NIPS 2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
NIPS 2023
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