representation learning

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 Delving into the Openness of CLIP ACL 2023 Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion ACL 2023 Denoising Diffusion Autoencoders are Unified Self-supervised Learners ICCV 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency IJCAI 2023 Dense Retrieval as Indirect Supervision for Large-space Decision Making EMNLP 2023 Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions EMNLP 2023 DETA: Denoised Task Adaptation for Few-Shot Learning ICCV 2023 Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning AAAI 2023 Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play CoRL 2023 Dialect Representation Learning with Neural Dialect-to-Standard Normalization EACL 2023 Dialogue Summarization with Static-Dynamic Structure Fusion Graph ACL 2023 DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification AAAI 2023 Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG Interspeech 2023 Diffeomorphic Information Neural Estimation AAAI 2023 Difficulty-Based Sampling for Debiased Contrastive Representation Learning CVPR 2023 DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion ICLR 2023 Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR 2023 Diffusion Based Representation Learning ICML 2023 Diffusion Model as Representation Learner ICCV 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 DINO as a von Mises-Fisher mixture model ICLR 2023 Discovering Object-Centric Generalized Value Functions From Pixels ICML 2023 Discovering Salient Neurons in deep NLP models JMLR 2023