firstbacksecondback
332 Results
|
Poster
|
Wed 9:00 |
Meta-learning with differentiable closed-form solvers Luca Bertinetto · Joao F. Henriques · Philip Torr · Andrea Vedaldi |
|
|
Poster
|
Tue 9:00 |
Differentiable Learning-to-Normalize via Switchable Normalization Ping Luo · jiamin ren · zhanglin peng · Ruimao Zhang · Jingyu Li |
|
|
Poster
|
Thu 9:00 |
Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning Anusha Nagabandi · Ignasi Clavera · Simin Liu · Ronald Fearing · Pieter Abbeel · Sergey Levine · Chelsea Finn |
|
|
Poster
|
Wed 9:00 |
A Closer Look at Few-shot Classification Wei-Yu Chen · Yen-Cheng Liu · Zsolt Kira · Yu-Chiang Frank Wang · Jia-Bin Huang |
|
|
Poster
|
Wed 9:00 |
Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon · John Bronskill · Matthias Bauer · Sebastian Nowozin · Richard E Turner |
|
|
Poster
|
Thu 9:00 |
Guiding Policies with Language via Meta-Learning John Co-Reyes · Abhishek Gupta · Suvansh Q Sanjeev · Nicholas Altieri · Jacob Andreas · John DeNero · Pieter Abbeel · Sergey Levine |
|
|
Poster
|
Wed 9:00 |
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING Yanbin Liu · Juho Lee · Minseop Park · Saehoon Kim · Eunho Yang · Sung Ju Hwang · Yi Yang |
|
|
Poster
|
Thu 14:30 |
Amortized Bayesian Meta-Learning Sachin Ravi · Alex Beatson |
|
|
Poster
|
Wed 9:00 |
Unsupervised Learning via Meta-Learning Kyle Hsu · Sergey Levine · Chelsea Finn |
|
|
Poster
|
Thu 14:30 |
Learning-Based Frequency Estimation Algorithms Chen-Yu Hsu · Piotr Indyk · Dina Katabi · Ali Vakilian |
|
|
Oral
|
Thu 13:15 |
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz · Niru Maheswaranathan · Brian Cheung · Jascha Sohl-Dickstein |
|
|
Poster
|
Thu 14:30 |
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz · Niru Maheswaranathan · Brian Cheung · Jascha Sohl-Dickstein |