Application Areas

An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data AAAI 2023 Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast ACL 2023 Analyzing Bias in Large Language Model Solutions for Assisted Writing Feedback Tools: Lessons from the Feedback Prize Competition Series ACL 2023 Analyzing Challenges in Neural Machine Translation for Software Localization EACL 2023 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023 Analyzing Vision Transformers for Image Classification in Class Embedding Space NeurIPS 2023 An Analysis of Glottal Features of Chronic Kidney Disease Speech and Its Application to CKD Detection Interspeech 2023 An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts ACL 2023 Anchor Data Augmentation NeurIPS 2023 AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution NeurIPS 2023 AndroidInTheWild: A Large-Scale Dataset For Android Device Control NeurIPS 2023 A Nearly-Optimal Bound for Fast Regression with ℓ_∞ Guarantee ICML 2023 An Effective Approach for Informational and Lexical Bias Detection EACL 2023 An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition Interspeech 2023 An Efficient Approach for the Automated Segmentation and Transcription of the People's Speech Sorpus Interspeech 2023 An Efficient Conversational Smart Compose System ACL 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NeurIPS 2023 An efficient encoder-decoder architecture with top-down attention for speech separation ICLR 2023 An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract) AAAI 2023 An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models ACL 2023 An Empirical Comparison of LM-based Question and Answer Generation Methods ACL 2023 An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters EACL 2023 An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models ACL 2023 An Empirical Study of Multimodal Model Merging EMNLP 2023 An Empirical Study on Active Learning for Multi-label Text Classification EACL 2023