Supervised Learning

Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data EMNLP 2024 Variable Importance in High-Dimensional Settings Requires Grouping AAAI 2024 When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making AAAI 2024 When Is a Name Sensitive? Eponyms in Clinical Text and Implications for De-Identification EACL 2024 When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024 Why Do We Need Weight Decay in Modern Deep Learning? NeurIPS 2024 WordWizards@DravidianLangTech 2024:Fake News Detection in Dravidian Languages using Cross-lingual Sentence Embeddings EACL 2024 Adaptive Hinge Balance Loss for Document-Level Relation Extraction EMNLP 2023 Addressing the Length Bias Challenge in Document-Level Neural Machine Translation EMNLP 2023 Aligning Language Models to User Opinions EMNLP 2023 A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023 Annotating and Training for Population Subjective Views ACL 2023 Annotating Decomposition in Time: Three Approaches for Again ACL 2023 Annotation Sensitivity: Training Data Collection Methods Affect Model Performance EMNLP 2023 AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds Interspeech 2023 Auditory Attention Detection in Real-Life Scenarios Using Common Spatial Patterns from EEG Interspeech 2023 Automated Few-Shot Classification with Instruction-Finetuned Language Models EMNLP 2023 Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023 Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023 Compositional Generalization for Data-to-Text Generation EMNLP 2023 Cut your Losses with Squentropy ICML 2023 Data-Driven Subgroup Identification for Linear Regression ICML 2023 Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023