representation space

On Prompt-Driven Safeguarding for Large Language Models ICML 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations NeurIPS 2024 Return of Unconditional Generation: A Self-supervised Representation Generation Method NeurIPS 2024 The Linear Representation Hypothesis and the Geometry of Large Language Models ICML 2024 Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024 CAFA: Class-Aware Feature Alignment for Test-Time Adaptation ICCV 2023 Concept Algebra for (Score-Based) Text-Controlled Generative Models NeurIPS 2023 Continual Vision-Language Representation Learning with Off-Diagonal Information ICML 2023 Distilling Large Vision-Language Model with Out-of-Distribution Generalizability ICCV 2023 INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation ACL 2023 kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers EMNLP 2023 On the Complexity of Bayesian Generalization ICML 2023 Space Engage: Collaborative Space Supervision for Contrastive-Based Semi-Supervised Semantic Segmentation ICCV 2023 A Closer Look at How Fine-tuning Changes BERT ACL 2022 A Contrastive Framework for Neural Text Generation NeurIPS 2022 Active Learning Helps Pretrained Models Learn the Intended Task NeurIPS 2022 A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval NeurIPS 2022 COAT: Measuring Object Compositionality in Emergent Representations ICML 2022 ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model NeurIPS 2022 RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction NAACL 2022 Adversarial Robustness Across Representation Spaces CVPR 2021 Contrastive Learning for Compact Single Image Dehazing CVPR 2021 Likelihood-free Out-of-Distribution Detection with Invertible Generative Models IJCAI 2021 MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning NAACL 2021 Writing Style Author Embedding Evaluation EMNLP 2021