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Learning Invariant Representations using Inverse Contrastive Loss., , , and . AAAI, page 6582-6591. AAAI Press, (2021)Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 118-128. AUAI Press, (2021)Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations., , , , and . CVPR, page 11432-11440. Computer Vision Foundation / IEEE, (2020)FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret., , , and . ECCV (12), volume 12357 of Lecture Notes in Computer Science, page 365-381. Springer, (2020)Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution., , , and . CoRR, (2019)Active Learning with Importance Sampling., and . CoRR, (2019)Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently., , , , and . CoRR, (2019)End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition., , , , and . CoRR, (2019)Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence., , , and . AAAI, page 4772-4779. AAAI Press, (2019)Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution., , , and . AAAI, page 1593-1602. AAAI Press, (2020)