Deep Learning

Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories ICLR 2025 Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence AAAI 2025 Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers ICLR 2025 Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation AAAI 2025 Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025 AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting ICML 2025 AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding ACL 2025 AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference AAAI 2025 A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations Interspeech 2025 A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization WACV 2025 A Dataset for Automatic Assessment of TTS Quality in Spanish Interspeech 2025 A Dataset of Ancient Chinese Math Word Problems and an Application for Research in Historic Mathematics NAACL 2025 Ada-VE: Training-Free Consistent Video Editing using Adaptive Motion Prior WACV 2025 AdaWM: Adaptive World Model based Planning for Autonomous Driving ICLR 2025 AdaWorld: Learning Adaptable World Models with Latent Actions ICML 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification ICLR 2025 ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement ICCV 2025 ADCeleb: A Longitudinal Speech Dataset from Public Figures for Early Detection of Alzheimer’s Disease Interspeech 2025 ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution CVPR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching ICCV 2025 Adding Conditional Control to Diffusion Models with Reinforcement Learning ICLR 2025 Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models ICLR 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025