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Transfer Learning

8,078 papers

Papers per year

Papers

MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NIPS 2024
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation NIPS 2024
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NIPS 2024
Sparse High Rank Adapters NIPS 2024
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking NIPS 2024
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality NIPS 2024
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NIPS 2024
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NIPS 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization NIPS 2024
MeMo: Meaningful, Modular Controllers via Noise Injection NIPS 2024
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model NIPS 2024
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection NIPS 2024
Optimal Algorithms for Learning Partitions with Faulty Oracles NIPS 2024
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers NIPS 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NIPS 2024
Neuro-Symbolic Data Generation for Math Reasoning NIPS 2024
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting NIPS 2024
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge NIPS 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation NIPS 2024
UltraMedical: Building Specialized Generalists in Biomedicine NIPS 2024
Smoke and Mirrors in Causal Downstream Tasks NIPS 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NIPS 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NIPS 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NIPS 2024
Efficiency for Free: Ideal Data Are Transportable Representations NIPS 2024