Deep Learning

Pretraining with Random Noise for Fast and Robust Learning without Weight Transport NeurIPS 2024 Pre-training with Random Orthogonal Projection Image Modeling ICLR 2024 Pre-training with Synthetic Data Helps Offline Reinforcement Learning ICLR 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection ECCV 2024 Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NeurIPS 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 Preventing Model Collapse in Gaussian Process Latent Variable Models ICML 2024 Previously on ... From Recaps to Story Summarization CVPR 2024 Pricing and Competition for Generative AI NeurIPS 2024 Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement ACL 2024 PRIME: Prioritizing Interpretability in Failure Mode Extraction ICLR 2024 Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors NeurIPS 2024 Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring AAAI 2024 Prior Knowledge-Guided Adversarial Training ACL 2024 PRISM: A New Lens for Improved Color Understanding EMNLP 2024 Privacy Attacks in Decentralized Learning ICML 2024 Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption ICML 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024 Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024 Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NeurIPS 2024 PrivaT5: A Generative Language Model for Privacy Policies ACL 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Privileged Prior Information Distillation for Image Matting AAAI 2024 Proactive Detection of Voice Cloning with Localized Watermarking ICML 2024