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Papers (including subtopics)

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023 Pretrained Bidirectional Distillation for Machine Translation ACL 2023 Pretrained Language Models v. Court Ruling Predictions: A Case Study on a Small Dataset of French Court of Appeal Rulings EMNLP 2023 Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning NeurIPS 2023 Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023 Pre-training Multi-party Dialogue Models with Latent Discourse Inference ACL 2023 Pre-Training to Learn in Context ACL 2023 Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract) AAAI 2023 Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models ICCV 2023 Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision NeurIPS 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning ICLR 2023 Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation NeurIPS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Privacy-Preserving Domain Adaptation of Semantic Parsers ACL 2023 Privacy-Preserving Natural Language Processing EACL 2023 Privacy-preserving patient clustering for personalized federated learnings MLHC 2023 Private Federated Learning with Autotuned Compression ICML 2023 Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses ICLR 2023 Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023 Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation ICCV 2023 Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning ACL 2023 Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism CVPR 2023