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Transfer Learning

3,884 papers

Papers per year

Papers

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks NIPS 2022
Training Spiking Neural Networks with Local Tandem Learning NIPS 2022
Less-forgetting Multi-lingual Fine-tuning NIPS 2022
Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion NIPS 2022
Merging Models with Fisher-Weighted Averaging NIPS 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs NIPS 2022
Domain Adaptation under Open Set Label Shift NIPS 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings NIPS 2022
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution NIPS 2022
CUP: Critic-Guided Policy Reuse NIPS 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress NIPS 2022
Meta-Complementing the Semantics of Short Texts in Neural Topic Models NIPS 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation NIPS 2022
Amplifying Membership Exposure via Data Poisoning NIPS 2022
Invariance Learning based on Label Hierarchy NIPS 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations NIPS 2022
Weak-shot Semantic Segmentation via Dual Similarity Transfer NIPS 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift NIPS 2022
Provably sample-efficient RL with side information about latent dynamics NIPS 2022
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization NIPS 2022
Generative multitask learning mitigates target-causing confounding NIPS 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NIPS 2022
Self-Supervised Pretraining for Large-Scale Point Clouds NIPS 2022
Vision Transformers provably learn spatial structure NIPS 2022