Transfer Learning
8,172 papers
Papers per year
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Papers
Direct Preference Optimization with an Offset
ACL 2024
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning
ICML 2024
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition
AAAI 2024
Disentangling Pretrained Representation to Leverage Low-Resource Languages in Multilingual Machine Translation
COLING 2024
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
EMNLP 2024
Dissecting the Failure of Invariant Learning on Graphs
NeurIPS 2024
Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model
COLING 2024
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
NeurIPS 2024
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
EMNLP 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
AISTATS 2024
Distributional Preference Alignment of LLMs via Optimal Transport
NeurIPS 2024
Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases
EACL 2024
DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos
AAAI 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
NeurIPS 2024
DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction
AAAI 2024
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
ACL 2024
DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases
ACL 2024
DoDo Learning: Domain-Demographic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
COLING 2024
Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much
NAACL 2024
Does the Order Matter? Curriculum Learning over Languages
COLING 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
EMNLP 2024
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
COLING 2024
Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning
ACL 2024
Domain Adaptation via Prompt Learning for Alzheimer’s Detection
EMNLP 2024
Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark
COLING 2024