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Papers (including subtopics)

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression ICLR 2024 Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting NeurIPS 2024 Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression UAI 2024 Analysis of Corrected Graph Convolutions NeurIPS 2024 Analysis of Glyph and Writing System Similarities Using Siamese Neural Networks COLING 2024 Analysis of Multi-Source Language Training in Cross-Lingual Transfer ACL 2024 Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024 Analyzing Finetuned Vision Models for Mixtec Codex Interpretation NAACL 2024 Analyzing Large Language Models’ Capability in Location Prediction COLING 2024 Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection Interspeech 2024 Analyzing Offensive Language and Hate Speech in Political Discourse: A Case Study of German Politicians COLING 2024 Analyzing Pokémon and Mario Streamers’ Twitch Chat with LLM-based User Embeddings EMNLP 2024 Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training NeurIPS 2024 Analyzing Semantic Change through Lexical Replacements ACL 2024 Analyzing Symptom-based Depression Level Estimation through the Prism of Psychiatric Expertise COLING 2024 Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification COLING 2024 Analyzing the Role of Part-of-Speech in Code-Switching: A Corpus-Based Study EACL 2024 Analyzing the Use of Metaphors in News Editorials for Political Framing NAACL 2024 An Analysis of Linear Time Series Forecasting Models ICML 2024 An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024 An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024 An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling NeurIPS 2024 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs COLING 2024 AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers IJCAI 2024