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Machine Learning
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Transfer Learning
3884 directly classified papers
Papers per year
2002: 1
2003: 1
2006: 3
2007: 2
2008: 3
2009: 3
2010: 4
2011: 7
2012: 5
2013: 28
2014: 14
2015: 14
2016: 50
2017: 119
2018: 136
2019: 254
2020: 371
2021: 481
2022: 497
2023: 584
2024: 538
2025: 735
2026: 34
Papers
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
COLT 2024
Octo: An Open-Source Generalist Robot Policy
RSS 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
CVPR 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
NIPS 2024
Multilingual Diversity Improves Vision-Language Representations
NIPS 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NIPS 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
NIPS 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
NIPS 2024
End-to-End Ontology Learning with Large Language Models
NIPS 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
NIPS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NIPS 2024
Derandomizing Multi-Distribution Learning
NIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NIPS 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
AAAI 2024
Multi-language Diversity Benefits Autoformalization
NIPS 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
Parameter Competition Balancing for Model Merging
NIPS 2024
Pre-training Differentially Private Models with Limited Public Data
NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NIPS 2024
Transfer Learning for Latent Variable Network Models
NIPS 2024
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
AAAI 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization
NIPS 2024
Federated Learning over Connected Modes
NIPS 2024
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