domain adaptation
Techniques that enable a model trained in one domain to perform well in a different but related domain, addressing shifts in data distribution.
- BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
- Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors
- EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
- FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
- Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
- Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
- Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
- Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
- Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
- Reasoning Gym: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
- Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
- Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
- Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
- TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
- Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
- macOSWorld: A Multilingual Interactive Benchmark for GUI Agents