firstbacksecondback
163 Results
Poster
|
Thu 14:00 |
Adversarial Task Up-sampling for Meta-learning Yichen WU · Long-Kai Huang · Ying Wei |
|
Poster
|
Wed 9:00 |
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei · Rong Jin · Yiming Ying |
|
Affinity Workshop
|
Comparison of Classification Algorithms for Predicting Completeness of Measles Vaccination Peter Oseghale Ohue · Oluyemi Adewole Okunlola |
||
Poster
|
Tue 9:00 |
Learning from Stochastically Revealed Preference John Birge · Xiaocheng Li · Chunlin Sun |
|
Poster
|
How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents Yoav Kolumbus · Noam Nisan |
||
Workshop
|
Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation Ramnath Kumar · Dheeraj Nagaraj |
||
Poster
|
Wed 14:00 |
RecursiveMix: Mixed Learning with History Lingfeng Yang · Xiang Li · Borui Zhao · Renjie Song · Jian Yang |
|
Workshop
|
Toward Neural Network Simulation of Variational Quantum Algorithms Oliver Knitter · James Stokes · Shravan Veerapaneni |
||
Affinity Workshop
|
Simulating Health Time Series by Data Augmentation Louis Gomez · Adedolapo Toye · Robert Hum · Samantha Kleinberg |
||
Poster
|
Tue 14:00 |
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision Alex Tamkin · Gaurab Banerjee · Mohamed Owda · Vincent Liu · Shashank Rammoorthy · Noah Goodman |
|
Workshop
|
Implicit Offline Reinforcement Learning via Supervised Learning Alexandre Piche · Rafael Pardinas · David Vazquez · Igor Mordatch · Igor Mordatch · Chris Pal |
||
Poster
|
Thu 9:00 |
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson |