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Tue 10:00 SoftSort: A Continuous Relaxation for the argsort Operator
Sebastian Prillo · Julian M Eisenschlos
Thu 8:00 Optimizing Data Usage via Differentiable Rewards
Xinyi Wang · Hieu Pham · Paul Michel · Antonios Anastasopoulos · Jaime Carbonell · Graham Neubig
Tue 7:00 Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
Kaito Fujii
Wed 13:00 Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel · Rana Ali Amjad · Marinus van Baalen · Christos Louizos · Tijmen Blankevoort
Tue 7:00 Loss Function Search for Face Recognition
Xiaobo Wang · Shuo Wang · Cheng Chi · Shifeng Zhang · Tao Mei
Thu 12:00 On Thompson Sampling with Langevin Algorithms
Eric Mazumdar · Aldo Pacchiano · Yian Ma · Michael Jordan · Peter Bartlett
Thu 6:00 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh · Nhan H Pham · Lam Nguyen
Tue 14:00 Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
John Sipple
Tue 8:00 The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh · Natalia Ponomareva · Petros Mol · Zhenyu Tan · Rahul Mazumder
Wed 5:00 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Bo Han · Gang Niu · Xingrui Yu · QUANMING YAO · Miao Xu · Ivor Tsang · Masashi Sugiyama
Thu 17:00 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim · Wonho Choo · Hyun Oh Song
Wed 8:00 Adversarial Filters of Dataset Biases
Ronan Le Bras · Swabha Swayamdipta · Chandra Bhagavatula · Rowan Zellers · Matthew Peters · Ashish Sabharwal · Yejin Choi