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Contrastive Learning

1193 directly classified papers

Papers per year

Papers

No More Shortcuts: Realizing the Potential of Temporal Self-Supervision AAAI 2024
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation CVPR 2024
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency CVPR 2024
Self-Supervised Representation Learning from Arbitrary Scenarios CVPR 2024
An Empirical Study of CLIP for Text-Based Person Search AAAI 2024
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing AAAI 2024
DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning AAAI 2024
C-CLIP: Contrastive Image-Text Encoders To Close the Descriptive-Commentative Gap WACV 2024
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models CVPR 2024
Contrastive Entity Coreference and Disambiguation for Historical Texts EMNLP 2024
PIGEON: Predicting Image Geolocations CVPR 2024
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NIPS 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP CVPR 2024
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection CVPR 2024
Building Vision-Language Models on Solid Foundations with Masked Distillation CVPR 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA AAAI 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile AAAI 2024
Contrastive Learning for Low-Light Raw Denoising (Student Abstract) AAAI 2024
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance AAAI 2024
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition AAAI 2024
DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations AAAI 2024
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract) AAAI 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NIPS 2024