Deep Learning

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models CVPR 2025 On Exact Bit-level Reversible Transformers Without Changing Architecture ICML 2025 On Explaining Equivariant Graph Networks via Improved Relevance Propagation ICML 2025 On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding ICML 2025 On Generalization Bounds for Neural Networks with Low Rank Layers ALT 2025 On Integrating LLMs Into an Argument Annotation Workflow ACL 2025 On Large Multimodal Models as Open-World Image Classifiers ICCV 2025 Online Audio-Visual Autoregressive Speaker Extraction Interspeech 2025 Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning ICML 2025 Online Dense Point Tracking with Streaming Memory ICCV 2025 Online Iterative Self-Alignment for Radiology Report Generation ACL 2025 Online Language Splatting ICCV 2025 Online Laplacian-Based Representation Learning in Reinforcement Learning ICML 2025 Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization ICLR 2025 Online Video Understanding: OVBench and VideoChat-Online CVPR 2025 On Local Overfitting and Forgetting in Deep Neural Networks AAAI 2025 On Measuring Long-Range Interactions in Graph Neural Networks ICML 2025 On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches WACV 2025 On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes JMLR 2025 On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems AAAI 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 On Reducing Factual Hallucinations in Graph-to-Text Generation Using Large Language Models COLING 2025 On Relation-Specific Neurons in Large Language Models EMNLP 2025 On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality ICLR 2025 On Support Samples of Next Word Prediction ACL 2025