Performance Analysis
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
During the CL of VLMs, we need not only to prevent the catastrophic forgetting on incrementally learned knowledge but also to preserve the zero-shot ability of VLMs.
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
Kwang-Sung Jun, Ashok Cutkosky, Francesco Orabona
Neural Information Processing Systems http://nips.cc/
Discriminative Calibration: Check Bayesian
However, SBC has drawbacks: The test statistic is somewhat ad-hoc, interactions are difficult to examine, multiple testing is a challenge, and the resulting p-value is not a divergence metric.
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
We prove that the ELBO is bounded, and the EM algorithm contributes to the convergence of ELBO.