Transfer Learning

The Effects of Pretraining in Video-Guided Machine Translation COLING 2024 The First Parallel Corpus and Neural Machine Translation Model of Western Armenian and English COLING 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Impact of Language Adapters in Cross-Lingual Transfer for NLU EACL 2024 The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing NeurIPS 2024 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NeurIPS 2024 TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better NeurIPS 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement CVPR 2024 Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network AAAI 2024 Time is Encoded in the Weights of Finetuned Language Models ACL 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter EMNLP 2024 Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora EMNLP 2024 Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization IJCAI 2024 Towards Better Inclusivity: A Diverse Tweet Corpus of English Varieties EACL 2024 Towards Better Vision-Inspired Vision-Language Models CVPR 2024 Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory Interspeech 2024 Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource Language EACL 2024 Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024 Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024