ICML Submissions

Meta-Reinforcement Learning for Adaptive Autonomous Driving
Anonymous
- May 16, 2019 (edited Jun 06, 2019)
- ICML 2019 Workshop AMTL Blind Submission
- Readers: Everyone
Active Multitask Learning with Committees
Anonymous
- May 16, 2019 (edited Jun 05, 2019)
- ICML 2019 Workshop AMTL Blind Submission
- Readers: Everyone
Goal-conditioned Imitation Learning
Anonymous
- May 16, 2019 (edited Jun 05, 2019)
- ICML 2019 Workshop AMTL Blind Submission
- Readers: Everyone
VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks
Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu
- May 01, 2019 (edited Jun 05, 2019)
- ICML 2019 Workshop RL4RealLife Submission
- Readers: Everyone
Connections Between Optimization in Machine Learning and Adaptive Control
Anonymous
- May 16, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop AMTL Blind Submission
- Readers: Everyone
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Measuring the Spectrum of Deepnet Hessians
Vardan Papyan
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Function changes in the Backpropagation equation is equivalent to an implicit learning rate
Anonymous
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
On Adversarial Robustness of Small vs Large Batch Training
Sandesh Kamath, Amit Despande, K V Subrahmanyam
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Implicit bias of gradient descent on convolutional generators
Reinhard Heckel and Paul Hand
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Stochastic algorithms under single spiked models
Emile Richard
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
An Investigation of Memory in Recurrent Neural Networks
Aude Forcione-Lambert, Guy Wolf, Guillaume Lajoie
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Deep connectomics networks: Results from neural network architectures inspired from network neuroscience
Nicholas Roberts, Vinay Uday Prabhu
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
On the Sensitivity of Adversarial Robustness to Input Data Distributions
Gavin Weiguang Ding, Kry Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Luck Matters: Understanding Training Dynamics of Deep ReLU Networks
Yuandong Tian, Tina Jiang, Qucheng Gong, Ari Morcos
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Universality Patterns in the Training of Neural Networks
Raghav Somani, Navin Goyal, Prateek Jain, Praneeth Netrapalli
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
On the Importance of Full Rank Initializations in Deep Neural Networks
Vaibhav B Sinha*, Vishwak Srinivasan*, Vineeth N B
- May 17, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
A Neuro-AI Interface: Learning DNNs from the Human Brain
Zhengwei Wang, Qi She, Eoin Brophy, Alan F. Smeaton, Tomas E. Ward, Graham Healy
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization
Emilio Jorge, Morteza Haghir Chehreghani, Devdatt Dubhashi
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Simplicity bias in the parameter-function map of deep neural networks
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Better Generalization with Adaptive Adversarial Training
Amit Despande, Sandesh Kamath, K V Subrahmanyam
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Evolution of Eigenvalue Decay in Deep Networks
Lukas Pfahler, Katharina Morik
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Do LSTMs Learn Compositionally?
Naomi Saphra, Adam Lopez
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone
Probing emergent geometry in speech models via replica theory
Suchismita Padhy, Jenelle Feather, Cory Stephenson, Oguz Elibol, Hanlin Tang, Josh McDermott, Sueyeon Chung
- May 28, 2019 (edited Jun 04, 2019)
- ICML 2019 Workshop Deep Phenomena Blind Submission
- Readers: Everyone