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Poster
Tue 7:00 Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
Di Chen · Yiwei Bai · Wenting Zhao · Sebastian Ament · John Gregoire · Carla Gomes
Poster
Tue 7:00 Layered Sampling for Robust Optimization Problems
Hu Ding · Zixiu Wang
Poster
Tue 7:00 Laplacian Regularized Few-Shot Learning
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
Poster
Tue 7:00 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
shuai zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Tue 7:00 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel
Poster
Tue 7:00 Individual Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian
Poster
Tue 7:00 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Chaosheng Dong · Bo Zeng
Poster
Tue 7:00 Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han · Yunhe Wang · Yixing Xu · Chunjing Xu · Enhua Wu · Chang Xu
Poster
Tue 7:00 Learning with Multiple Complementary Labels
LEI FENG · Takuo Kaneko · Bo Han · Gang Niu · Bo An · Masashi Sugiyama
Poster
Tue 7:00 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data
Lan-Zhe Guo · Zhen-Yu Zhang · Yuan Jiang · Yufeng Li · Zhi-Hua Zhou
Poster
Tue 8:00 Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
Poster
Tue 8:00 DROCC: Deep Robust One-Class Classification
Sachin Goyal · Aditi Raghunathan · Moksh Jain · Harsha Vardhan Simhadri · Prateek Jain