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Machine Learning
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Application Areas
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series
NIPS 2023
Transition-constant Normalization for Image Enhancement
NIPS 2023
Real-World Image Super-Resolution as Multi-Task Learning
NIPS 2023
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
NIPS 2023
Window-Based Distribution Shift Detection for Deep Neural Networks
NIPS 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
NIPS 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
NIPS 2023
Retrieval-Augmented Multiple Instance Learning
NIPS 2023
Does progress on ImageNet transfer to real-world datasets?
NIPS 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
NIPS 2023
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
NIPS 2023
Brant: Foundation Model for Intracranial Neural Signal
NIPS 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
NIPS 2023
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models
NIPS 2023
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
NIPS 2023
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
NIPS 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
NIPS 2023
Convolutional Visual Prompt for Robust Visual Perception
NIPS 2023
Scalable Transformer for PDE Surrogate Modeling
NIPS 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
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
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NIPS 2023
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
NIPS 2023
Subspace Identification for Multi-Source Domain Adaptation
NIPS 2023
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