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cs.LG2022
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh, Heeji Won, Junhyuk So +4
Learning fair representation is crucial for achieving fairness or debiasing sensitive information. Most existing works rely on adversarial representation learning to inject some in…
cs.LG2022
NIPQ: Noise proxy-based Integrated Pseudo-Quantization
Juncheol Shin, Junhyuk So, Sein Park +3
Straight-through estimator (STE), which enables the gradient flow over the non-differentiable function via approximation, has been favored in studies related to quantization-aware…