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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
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
NIPS 2023
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
NIPS 2023
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
NIPS 2023
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
NIPS 2023
Full-Atom Protein Pocket Design via Iterative Refinement
NIPS 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale
NIPS 2023
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
NIPS 2023
Transfer Learning with Affine Model Transformation
NIPS 2023
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
NIPS 2023
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
NIPS 2023
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
NIPS 2023
Pengi: An Audio Language Model for Audio Tasks
NIPS 2023
Inverse Preference Learning: Preference-based RL without a Reward Function
NIPS 2023
Segment Everything Everywhere All at Once
NIPS 2023
VPGTrans: Transfer Visual Prompt Generator across LLMs
NIPS 2023
Nearest Neighbour with Bandit Feedback
NIPS 2023
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
NIPS 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
NIPS 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
NIPS 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
NIPS 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
NIPS 2023
Addressing Negative Transfer in Diffusion Models
NIPS 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
NIPS 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
NIPS 2023
Semi-Supervised Domain Generalization with Known and Unknown Classes
NIPS 2023
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