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11/18/2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Designing networks capable of attaining better performance with an incre...
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07/13/2022
Stability of Weighted Majority Voting under Estimated Weights
Weighted Majority Voting (WMV) is a well-known optimal decision rule for...
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04/18/2022
Deep Equilibrium Optical Flow Estimation
Many recent state-of-the-art (SOTA) optical flow models use finite-step ...
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11/25/2021
Joint inference and input optimization in equilibrium networks
Many tasks in deep learning involve optimizing over the inputs to a netw...
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11/09/2021
On Training Implicit Models
This paper focuses on training implicit models of infinite layers. Speci...
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10/14/2021
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
For protecting users' private data, local differential privacy (LDP) has...
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06/28/2021
Stabilizing Equilibrium Models by Jacobian Regularization
Deep equilibrium networks (DEQs) are a new class of models that eschews ...
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06/01/2021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models
In recent years, implicit deep learning has emerged as a method to incre...
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04/28/2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
In this report, we relate the algorithmic design of Barlow Twins' method...
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08/13/2020
A community-powered search of machine learning strategy space to find NMR property prediction models
The rise of machine learning (ML) has created an explosion in the potent...
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06/15/2020
Multiscale Deep Equilibrium Models
We propose a new class of implicit networks, the multiscale deep equilib...
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09/03/2019
Deep Equilibrium Models
We present a new approach to modeling sequential data: the deep equilibr...
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08/30/2019
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel
Transformer is a powerful architecture that achieves superior performanc...
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06/01/2019
Multimodal Transformer for Unaligned Multimodal Language Sequences
Human language is often multimodal, which comprehends a mixture of natur...
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10/15/2018
Trellis Networks for Sequence Modeling
We present trellis networks, a new architecture for sequence modeling. O...
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03/04/2018
