Contrastive Learning

ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos EMNLP 2024 ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations CVPR 2024 EcoSpeak: Cost-Efficient Bias Mitigation for Partially Cross-Lingual Speaker Verification NAACL 2024 EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning NeurIPS 2024 Efficient Audio Captioning with Encoder-Level Knowledge Distillation Interspeech 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs ICML 2024 Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning NAACL 2024 Efficient OCR for Building a Diverse Digital History ACL 2024 Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024 Efficient Vision-Language Pre-training by Cluster Masking CVPR 2024 Embedding Dimension of Contrastive Learning and k-Nearest Neighbors NeurIPS 2024 Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion CVPR 2024 EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence ICML 2024 Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation NAACL 2024 Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling AAAI 2024 EmoTrans: Emotional Transition-based Model for Emotion Recognition in Conversation COLING 2024 Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection ACL 2024 End-to-end Learnable Clustering for Intent Learning in Recommendation NeurIPS 2024 Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract) AAAI 2024 Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning ACML 2024 Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples ACL 2024 Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding NAACL 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation Interspeech 2024