firstbacksecondback
34 Results
|
Poster
|
Mon 9:00 |
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization Joshua Chang · Patrick A Fletcher · Jungmin Han · Ted Chang · Shashaank Vattikuti · Bart Desmet · Ayah Zirikly · Carson Chow |
|
|
Poster
|
Wed 17:00 |
Learning with Feature-Dependent Label Noise: A Progressive Approach Yikai Zhang · Songzhu Zheng · Pengxiang Wu · Mayank Goswami · Chao Chen |
|
|
Poster
|
Wed 17:00 |
Mixed-Features Vectors and Subspace Splitting Alejandro Pimentel-Alarcón · Daniel L Pimentel-Alarcón |
|
|
Spotlight
|
Thu 20:25 |
Learning with Feature-Dependent Label Noise: A Progressive Approach Yikai Zhang · Songzhu Zheng · Pengxiang Wu · Mayank Goswami · Chao Chen |
|
|
Poster
|
Mon 1:00 |
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors Linfeng Zhang · Kaisheng Ma |
|
|
Poster
|
Mon 9:00 |
Saliency is a Possible Red Herring When Diagnosing Poor Generalization Joseph Viviano · Becks Simpson · Francis Dutil · Yoshua Bengio · Joseph Paul Cohen |
|
|
Poster
|
Tue 9:00 |
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle · David J Schwab · Ari Morcos |
|
|
Oral
|
Wed 3:15 |
Rethinking Attention with Performers Krzysztof Choromanski · Valerii Likhosherstov · David Dohan · Xingyou Song · Georgiana-Andreea Gane · Tamas Sarlos · Peter Hawkins · Jared Q Davis · Afroz Mohiuddin · Lukasz Kaiser · David Belanger · Lucy J Colwell · Adrian Weller |
|
|
Poster
|
Mon 9:00 |
Learning Hyperbolic Representations of Topological Features Panagiotis Kyriakis · Iordanis Fostiropoulos · Paul Bogdan |
|
|
Poster
|
Mon 9:00 |
Shapley Explanation Networks Rui Wang · Xiaoqian Wang · David Inouye |
|
|
Poster
|
Tue 17:00 |
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen · Zhengdao Chen · Joan Bruna |
|
|
Poster
|
Wed 17:00 |
A Geometric Analysis of Deep Generative Image Models and Its Applications Binxu Wang · Carlos Ponce |