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Transfer Learning

8,158 papers

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Papers

Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data ACL 2023
Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples ACML 2023
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency ACML 2023
Blessing of Class Diversity in Pre-training AISTATS 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Conformal Off-Policy Prediction AISTATS 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023
Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023
Doubly Fair Dynamic Pricing AISTATS 2023
Online Learning for Traffic Navigation in Congested Networks ALT 2023
Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023
Multitask Learning via Shared Features: Algorithms and Hardness COLT 2023
Provable Benefits of Representational Transfer in Reinforcement Learning COLT 2023
Self-Directed Linear Classification COLT 2023
Testing of Index-Invariant Properties in the Huge Object Model COLT 2023
Learning Narrow One-Hidden-Layer ReLU Networks COLT 2023
Limits of Model Selection under Transfer Learning COLT 2023
Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages? CONLL 2023
Exploring Transformers as Compact, Data-efficient Language Models CONLL 2023
Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels CVPR 2023
Annealing-Based Label-Transfer Learning for Open World Object Detection CVPR 2023
Train/Test-Time Adaptation With Retrieval CVPR 2023