Deep Learning

Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention WACV 2025 Improving Flow Matching by Aligning Flow Divergence ICML 2025 Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks ICLR 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025 Improving Generalization of End-to-End ASR through Diversity and Independence Regularization Interspeech 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 Improving Graph Contrastive Learning with Community Structure UAI 2025 Improving Graph Neural Networks by Learning Continuous Edge Directions ICLR 2025 Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick JMLR 2025 Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach EMNLP 2025 Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation ACL 2025 Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025 Improving Language and Modality Transfer in Translation by Character-level Modeling ACL 2025 Improving Language Model Distillation through Hidden State Matching ICLR 2025 Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 Improving LLM Reasoning through Interpretable Role-Playing Steering EMNLP 2025 Improving Long-Text Alignment for Text-to-Image Diffusion Models ICLR 2025 Improving Low-Resource Dialect Classification Using Retrieval-based Voice Conversion Interspeech 2025 Improving Low-Resource Morphological Inflection via Self-Supervised Objectives ACL 2025 Improving Memory Efficiency for Training KANs via Meta Learning ICML 2025 Improving Model Factuality with Fine-grained Critique-based Evaluator ACL 2025 Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC Interspeech 2025 Improving Multimodal Learning Balance and Sufficiency through Data Remixing ICML 2025 Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation AAAI 2025