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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
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
NIPS 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NIPS 2024
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
NIPS 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
NIPS 2024
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
NIPS 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
NIPS 2024
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
NIPS 2024
PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
NIPS 2024
Depth Anything V2
NIPS 2024
Transferring disentangled representations: bridging the gap between synthetic and real images
NIPS 2024
Can We Leave Deepfake Data Behind in Training Deepfake Detector?
NIPS 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
NIPS 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
NIPS 2024
Out-Of-Distribution Detection with Diversification (Provably)
NIPS 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NIPS 2024
A Simple yet Universal Framework for Depth Completion
NIPS 2024
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
NIPS 2024
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
NIPS 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
NIPS 2024
Smoke and Mirrors in Causal Downstream Tasks
NIPS 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NIPS 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
NIPS 2024
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
NIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NIPS 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting
NIPS 2024
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