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04/14/2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
We introduce GPT-NeoX-20B, a 20 billion parameter autoregressive languag...
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12/15/2021
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python
Modern deep learning frameworks provide imperative, eager execution prog...
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06/30/2021
Edge Proposal Sets for Link Prediction
Graphs are a common model for complex relational data such as social net...
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05/20/2021
Measuring Coding Challenge Competence With APPS
While programming is one of the most broadly applicable skills in modern...
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12/31/2020
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Recent work has demonstrated that increased training dataset diversity i...
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11/30/2020
Value Function Based Performance Optimization of Deep Learning Workloads
As machine learning techniques become ubiquitous, the efficiency of neur...
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10/27/2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Graph Neural Networks (GNNs) are the predominant technique for learning ...
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03/09/2020
Set-Structured Latent Representations
Unstructured data often has latent component structure, such as the obje...
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07/23/2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Neural networks are vulnerable to adversarial examples, malicious inputs...
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12/04/2018
Adversarial Example Decomposition
Research has shown that widely used deep neural networks are vulnerable ...
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11/20/2018
