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Poster
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Thu 1:00 |
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search Peidong Liu · Gengwei Zhang · Bochao Wang · Hang Xu · Xiaodan Liang · Yong Jiang · Zhenguo Li |
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Poster
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Thu 1:00 |
Latent Convergent Cross Mapping Edward De Brouwer · Adam Arany · Jaak Simm · Yves Moreau |
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Poster
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Thu 17:00 |
Linear Convergent Decentralized Optimization with Compression Xiaorui Liu · Yao Li · Rongrong Wang · Jiliang Tang · Ming Yan |
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Poster
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Mon 9:00 |
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher |
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Poster
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Thu 1:00 |
Hopfield Networks is All You Need Hubert Ramsauer · Bernhard Schäfl · Johannes Lehner · Philipp Seidl · Michael Widrich · Lukas Gruber · Markus Holzleitner · Thomas Adler · David Kreil · Michael K Kopp · Günter Klambauer · Johannes Brandstetter · Sepp Hochreiter |
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Poster
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Tue 17:00 |
RMSprop converges with proper hyper-parameter Naichen Shi · Dawei Li · Mingyi Hong · Ruoyu Sun |
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Poster
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Tue 9:00 |
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers Kenji Kawaguchi |
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Poster
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Mon 9:00 |
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction Wei Deng · Qi Feng · Georgios Karagiannis · Guang Lin · Faming Liang |
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Poster
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Thu 9:00 |
Linear Last-iterate Convergence in Constrained Saddle-point Optimization Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo |
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Poster
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Mon 9:00 |
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks Timothy Castiglia · Anirban Das · Stacy Patterson |
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Poster
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Tue 17:00 |
A unifying view on implicit bias in training linear neural networks Chulhee Yun · Shankar Krishnan · Hossein Mobahi |
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Oral
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Tue 19:55 |
Global Convergence of Three-layer Neural Networks in the Mean Field Regime Huy Tuan Pham · Phan-Minh Nguyen |