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Artificial Intelligence
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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
Diffused Redundancy in Pre-trained Representations
NIPS 2023
Efficient Equivariant Transfer Learning from Pretrained Models
NIPS 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
NIPS 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
NIPS 2023
Common Ground in Cooperative Communication
NIPS 2023
Formalizing locality for normative synaptic plasticity models
NIPS 2023
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
NIPS 2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
NIPS 2023
Towards Accelerated Model Training via Bayesian Data Selection
NIPS 2023
Spectral Co-Distillation for Personalized Federated Learning
NIPS 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
NIPS 2023
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity
NIPS 2023
On Learning Latent Models with Multi-Instance Weak Supervision
NIPS 2023
Combining Behaviors with the Successor Features Keyboard
NIPS 2023
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
NIPS 2023
Graph Denoising Diffusion for Inverse Protein Folding
NIPS 2023
AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
NIPS 2023
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand
NIPS 2023
Fast Trainable Projection for Robust Fine-tuning
NIPS 2023
Joint Data-Task Generation for Auxiliary Learning
NIPS 2023
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
NIPS 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
NIPS 2023
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
NIPS 2023
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
NIPS 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
NIPS 2023
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