SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning

arXiv:2410.02401 · cs.CV, cs.AI · Submitted 2024-10-03 · Read on arXiv

cs.CV, cs.AI

Submitted: 2024-10-03

Updated: 2026-09-01

Code: https://github.com/giakoumoglou/synco

Terminology

• Contrastive Learning — 40× in this paper · explained in 5 episodes
• Representation Learning — 21× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Self-Supervised Learning — 8× in this paper · explained in 7 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Transfer Learning — 4× in this paper · explained in 10 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Adversarial Training — 2× in this paper · explained in 1 episode
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Instance Segmentation — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Semi-supervised Learning — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes

Sources

• Manifold Mixup: Better Representations by Interpolating Hidden States
• mixup: Beyond Empirical Risk Minimization

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