transfer learning

Larger-Context Tagging: When and Why Does It Work? NAACL 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 LA-SACo: A Study of Learning Approaches for Sentiments Analysis inCode-Mixing Texts EACL 2021 Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition AAAI 2021 Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection NAACL 2021 Latent Skill Planning for Exploration and Transfer ICLR 2021 Learning a Universal Template for Few-shot Dataset Generalization ICML 2021 Learning Behaviors through Physics-driven Latent Imagination CoRL 2021 Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation CVPR 2021 Learning Bill Similarity with Annotated and Augmented Corpora of Bills EMNLP 2021 Learning Dense Representations of Phrases at Scale ACL 2021 Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier WACV 2021 Learning Intact Features by Erasing-Inpainting for Few-shot Classification AAAI 2021 Learning Prediction Intervals for Model Performance AAAI 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data CVPR 2021 Learning Subgoal Representations with Slow Dynamics ICLR 2021 Learning to Answer Psychological Questionnaire for Personality Detection EMNLP 2021 Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021 Learning to Pre-train Graph Neural Networks AAAI 2021 Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training NeurIPS 2021 Learning Transferable Visual Models From Natural Language Supervision ICML 2021 Learning Universal Authorship Representations EMNLP 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021 Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling CVPR 2021