transfer learning

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning ACL 2024 The Effects of Pretraining in Video-Guided Machine Translation COLING 2024 The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment COLING 2024 The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NeurIPS 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 Tight Rates in Supervised Outlier Transfer Learning ICLR 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24 EMNLP 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter EMNLP 2024 ToNER: Type-oriented Named Entity Recognition with Generative Language Model COLING 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages NAACL 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 Vision-Inspired Vision-Language Models CVPR 2024 Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory Interspeech 2024 Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation IJCAI 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy IJCAI 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024