conftrace_
← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Transfer Learning

8,078 papers

Papers per year

Papers

Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization NIPS 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward NIPS 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment NIPS 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers NIPS 2024
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning NIPS 2024
Tolerant Algorithms for Learning with Arbitrary Covariate Shift NIPS 2024
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning NIPS 2024
Universality in Transfer Learning for Linear Models NIPS 2024
Quantifying the Gain in Weak-to-Strong Generalization NIPS 2024
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design NIPS 2024
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures NIPS 2024
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models NIPS 2024
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics NIPS 2024
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients NIPS 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NIPS 2024
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control NIPS 2024
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff NIPS 2024
Is Multiple Object Tracking a Matter of Specialization? NIPS 2024
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning NIPS 2024
Practical Bayesian Algorithm Execution via Posterior Sampling NIPS 2024
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NIPS 2024
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NIPS 2024
Transfer Learning for Diffusion Models NIPS 2024
Task-oriented Time Series Imputation Evaluation via Generalized Representers NIPS 2024
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models NIPS 2024