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Poster
Thu 14:30 Amortized Bayesian Meta-Learning
Sachin Ravi · Alex Beatson
Poster
Wed 9:00 Meta-learning with differentiable closed-form solvers
Luca Bertinetto · Joao F. Henriques · Philip Torr · Andrea Vedaldi
Poster
Wed 9:00 How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
Poster
Wed 9:00 Efficient Lifelong Learning with A-GEM
Arslan Chaudhry · Marc'Aurelio Ranzato · Marcus Rohrbach · Mohamed Elhoseiny
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 Learning to Learn with Conditional Class Dependencies
Xiang Jiang · Seyed Mohammad Havaei · Farshid Varno · Gabriel Chartrand · Nicolas Chapados · Stan Matwin
Poster
Wed 9:00 Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho · Marta Garnelo
Poster
Wed 9:00 Meta-Learning Probabilistic Inference for Prediction
Jonathan Gordon · John Bronskill · Matthias Bauer · Sebastian Nowozin · Richard E Turner
Poster
Tue 9:00 Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu · Dushyant Rao · Jakub Sygnowski · Oriol Vinyals · Razvan Pascanu · Simon Osindero · Raia Hadsell
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