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05/07/2023
Leveraging Synthetic Targets for Machine Translation
In this work, we provide a recipe for training machine translation model...
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12/27/2022
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective
Mixup is a popular data augmentation technique for training deep neural ...
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10/25/2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Diffusion-based generative models learn to iteratively transfer unstruct...
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06/09/2022
On Neural Architecture Inductive Biases for Relational Tasks
Current deep learning approaches have shown good in-distribution general...
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06/06/2022
Is a Modular Architecture Enough?
Inspired from human cognition, machine learning systems are gradually re...
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10/18/2021
Compositional Attention: Disentangling Search and Retrieval
Multi-head, key-value attention is the backbone of the widely successful...
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07/02/2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Inducing causal relationships from observations is a classic problem in ...
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06/30/2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Robust perception relies on both bottom-up and top-down signals. Bottom-...
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10/19/2018
