conftrace_
← Application Areas
Machine Learning › Application Areas ›

Domain Adaptation

8,656 papers

Papers per year

Papers

Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation NIPS 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification NIPS 2024
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain NIPS 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting NIPS 2024
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions NIPS 2024
Learning Bregman Divergences with Application to Robustness NIPS 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection NIPS 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation NIPS 2024
Scene Graph Generation with Role-Playing Large Language Models NIPS 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NIPS 2024
Any2Policy: Learning Visuomotor Policy with Any-Modality NIPS 2024
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models NIPS 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline NIPS 2024
Proximal Causal Inference With Text Data NIPS 2024
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing NIPS 2024
Fine-Tuning is Fine, if Calibrated NIPS 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NIPS 2024
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NIPS 2024
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NIPS 2024
AED: Adaptable Error Detection for Few-shot Imitation Policy NIPS 2024
Transfer Learning for Diffusion Models NIPS 2024
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation NIPS 2024
Efficient Discrepancy Testing for Learning with Distribution Shift NIPS 2024
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding NIPS 2024
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NIPS 2024