Asia
ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences Ting-An Chen 1,2, De-Nian Y ang 2,3 Ming-Syan Chen 1,3 1
Despite a realistic problem, quantization on class-imbalanced data has not been studied.
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
Trong Dinh Thac Do, Longbing Cao
Neural Information Processing Systems http://nips.cc/
GENO -- GENeric Optimization for Classical Machine Learning
Soeren Laue, Matthias Mitterreiter, Joachim Giesen
Neural Information Processing Systems http://nips.cc/
Actively Testing Y our Model While It Learns: Realizing Label-Efficient Learning in Practice Dayou Yu
In active learning (AL), we focus on reducing the data annotation cost from the model training perspective. However, "testing", which often refers to the model
Learning Multiple Markov Chains via Adaptive Allocation
Mohammad Sadegh Talebi, Odalric-Ambrym Maillard
Neural Information Processing Systems http://nips.cc/
BadPrompt: Backdoor Attacks on Continuous Prompts (Appendix)
The statistics of the five datasets can be seen in the Table 1.