Workshop
|
Sat 12:01
|
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Maxime Wabartha · Joelle Pineau
|
|
Poster
|
Thu 8:45
|
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
Changhyeon Lee · Seulki Lee
|
|
Workshop
|
Sat 6:30
|
Geometric deep learning for protein understanding
Jian Tang
|
|
Poster
|
Tue 15:15
|
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Wang · Minh Nguyen · Mert Sabuncu
|
|
Poster
|
Tue 8:45
|
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
Parikshit Gopalan · Michael Kim · Omer Reingold
|
|
Poster
|
Tue 15:15
|
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Yotam Alexander · Nimrod De La Vega · Noam Razin · Nadav Cohen
|
|
Poster
|
Wed 15:00
|
Improving Robustness with Adaptive Weight Decay
Mohammad Amin Ghiasi · Ali Shafahi · Reza Ardekani
|
|
Poster
|
Tue 15:15
|
Coneheads: Hierarchy Aware Attention
Albert Tseng · Tao Yu · Toni Liu · Christopher De Sa
|
|
Poster
|
Tue 15:15
|
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
Zhen Liu · ma peitian · Dongliang Chen · Wenbin Pei · Qianli Ma
|
|
Workshop
|
|
Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?
Karthick Panner Selvam · Mats Brorsson
|
|
Poster
|
Tue 8:45
|
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
Arthur da Cunha · Arthur da Cunha · Francesco D'Amore · Natale
|
|
Poster
|
Wed 8:45
|
On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
|
|