Deep Learning

Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study ACL 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025 Improving Neural Network Accuracy by Concurrently Training with a Twin Network ICLR 2025 Improving Neural Optimal Transport via Displacement Interpolation ICLR 2025 Improving Noise Robustness of LLM-based Zero-shot TTS via Discrete Acoustic Token Denoising Interspeech 2025 Improving Online Job Advertisement Analysis via Compositional Entity Extraction EMNLP 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning MLHC 2025 Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework WACV 2025 Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization AISTATS 2025 Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching ICLR 2025 Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Improving Rectified Flow with Boundary Conditions ICCV 2025 Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles Interspeech 2025 Improving Retrieval Augmented Language Model with Self-Reasoning AAAI 2025 Improving Reward Models with Synthetic Critiques NAACL 2025 Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations EMNLP 2025 Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data ACL 2025 Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling WACV 2025 Improving Sign Language Understanding with a Multi-Stream Masked Autoencoder Trained on ASL Videos IJCNLP 2025 Improving Soft Unification with Knowledge Graph Embedding Methods ICML 2025 Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Interspeech 2025 Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function Interspeech 2025 Improving Table Retrieval with Question Generation from Partial Tables ACL 2025 Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025