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Transfer Learning

8,078 papers

Papers per year

Papers

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning NIPS 2024
Transferable Boltzmann Generators NIPS 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment NIPS 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NIPS 2024
PLIP: Language-Image Pre-training for Person Representation Learning NIPS 2024
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NIPS 2024
Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024
Contextual Active Model Selection NIPS 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery NIPS 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NIPS 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NIPS 2024
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer NIPS 2024
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NIPS 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NIPS 2024
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching NIPS 2024
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming NIPS 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NIPS 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NIPS 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NIPS 2024
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NIPS 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance NIPS 2024
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA NIPS 2024
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NIPS 2024
Induced Model Matching: Restricted Models Help Train Full-Featured Models NIPS 2024