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Machine Learning
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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
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NIPS 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing
NIPS 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data
NIPS 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
NIPS 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
NIPS 2024
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
NIPS 2024
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
NIPS 2024
AUC Maximization under Positive Distribution Shift
NIPS 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
NIPS 2024
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
NIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective
NIPS 2024
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective
NIPS 2024
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
NIPS 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
NIPS 2024
Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
NIPS 2024
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
NIPS 2024
Debiasing Synthetic Data Generated by Deep Generative Models
NIPS 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NIPS 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
NIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NIPS 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
NIPS 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
NIPS 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
NIPS 2024
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
NIPS 2024
MALT Powers Up Adversarial Attacks
NIPS 2024
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