conftrace_

contrastive loss

114 papers

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contrastive learning (4032) representation learning (6206) multimodal learning (4645) self-supervised learning (3777) metric learning (1190) large language model (13587) image retrieval (600) image classification (1944) unsupervised learning (3264) data augmentation (3052)

Papers

Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval IJCAI 2024
NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach ACL 2024
Learning Representation of Therapist Empathy in Counseling Conversation Using Siamese Hierarchical Attention Network INTERSPEECH 2024
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024
Contrastive losses as generalized models of global epistasis NIPS 2024
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models AISTATS 2024
DVANet: Disentangling View and Action Features for Multi-View Action Recognition AAAI 2024
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection EMNLP 2024
hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns ACL 2024
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer AAAI 2024
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models AAAI 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training CVPR 2023
CLIPPO: Image-and-Language Understanding From Pixels Only CVPR 2023
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension CVPR 2023
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection CVPR 2023
PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification CVPR 2023
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding IJCAI 2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation ICCV 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval NIPS 2023
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency ACL 2023
One Embedder, Any Task: Instruction-Finetuned Text Embeddings ACL 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data ACL 2023
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines ACL 2023
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023
Frequency Guidance Matters in Few-Shot Learning ICCV 2023