Inductive Learning
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Chen-Long Duan
Pre-training plays a vital role in various vision tasks, such as object recognition and detection.
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Haitian Sun, William W. Cohen, Lidong Bing
Neural Information Processing Systems http://nips.cc/
MarginGAN: Adversarial Training in Semi-Supervised Learning
The newfeature isthattheclassifier attempts toincrease themarginofrealexamples and to decrease the margin of fake examples.
Graph Agreement Models for Semi-Supervised Learning
Otilia Stretcu, Krishnamurthy Viswanathan, Dana Movshovitz-Attias, Emmanouil Platanios, Sujith Ravi, Andrew Tomkins
Neural Information Processing Systems http://nips.cc/
Debiased Self-Training for Semi-Supervised Learning
Despite its popularity, self-training is well-believed to be unreliable and often leads to training instability.
Tailoring
From CNNs toattention mechanisms, encoding inductivebiases intoneural networks has been a fruitful source of improvement in machine learning.
Exact inference in structured prediction
Neural Information Processing Systems http://nips.cc/