contrastive learning

Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning EMNLP 2023 Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens CVPR 2023 RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation ICML 2023 Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks NeurIPS 2023 RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training EMNLP 2023 Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining EACL 2023 Robust Mean Teacher for Continual and Gradual Test-Time Adaptation CVPR 2023 Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023 Robust Self-Supervised Multi-Instance Learning with Structure Awareness AAAI 2023 Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism Interspeech 2023 RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training EMNLP 2023 Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection ACL 2023 RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023 Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation ICCV 2023 Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023 Sample-Specific Debiasing for Better Image-Text Models MLHC 2023 SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives ACL 2023 Scaling Forward Gradient With Local Losses ICLR 2023 Scaling Language-Image Pre-Training via Masking CVPR 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023 Scaling Riemannian Diffusion Models NeurIPS 2023 Scene Graph Contrastive Learning for Embodied Navigation ICCV 2023 S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions NeurIPS 2023 SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap ICCV 2023