deep neural network

DNN-based monaural speech enhancement using alternate analysis windows for phase and magnitude modification Interspeech 2024 DNSMOS Pro: A Reduced-Size DNN for Probabilistic MOS of Speech Interspeech 2024 DOFEN: Deep Oblivious Forest ENsemble NeurIPS 2024 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NeurIPS 2024 Edged based audio-visual speech enhancement demonstrator Interspeech 2024 ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data JMLR 2024 Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024 Explanation in the Era of Large Language Models NAACL 2024 Exploring Language Models to Analyze Market Demand Sentiments from News ACL 2024 Exploring Syllable Discriminability during Diadochokinetic Task with Increasing Dysarthria Severity for Patients with Amyotrophic Lateral Sclerosis Interspeech 2024 Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 2024 Fida @DravidianLangTech 2024: A Novel Approach to Hate Speech Detection Using Distilbert-base-multilingual-cased EACL 2024 FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024 Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception NeurIPS 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 Fundamental Convergence Analysis of Sharpness-Aware Minimization NeurIPS 2024 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering COLING 2024 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Improving robustness to corruptions with multiplicative weight perturbations NeurIPS 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 Initial Guessing Bias: How Untrained Networks Favor Some Classes ICML 2024