Search Results

Automated Cloud Provisioning on AWS using Deep Reinforcement Learning

1 code implementation13 Sep 2017

As the use of cloud computing continues to rise, controlling cost becomes increasingly important.

Cloud Computing Deep Reinforcement Learning +4

Generating Music with a Self-Correcting Non-Chronological Autoregressive Model

1 code implementation18 Aug 2020

We describe a novel approach for generating music using a self-correcting, non-chronological, autoregressive model.

Streaming Anomaly Detection

4 code implementations30 Jan 2023

We then extend the count-min sketch to a Higher-Order sketch to capture complex relations in graph data, and to reduce detecting suspicious dense subgraph problem to finding a dense submatrix in constant time.

Anomaly Detection Denoising

Evaluating Large Language Models with fmeval

1 code implementation15 Jul 2024

A case study demonstrates a typical use case for the library: picking a suitable model for a question answering task.

Question Answering

HLAT: High-quality Large Language Model Pre-trained on AWS Trainium

1 code implementation16 Apr 2024

In this paper, we showcase HLAT: a family of 7B and 70B decoder-only LLMs pre-trained using 4096 AWS Trainium accelerators over 1. 8 trillion tokens.

Language Modeling Language Modelling +1

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

4 code implementations NeurIPS 2020

We present a method for provably defending any pretrained image classifier against $\ell_p$ adversarial attacks.

General Classification Image Classification +1

Task2Vec: Task Embedding for Meta-Learning

1 code implementation ICCV 2019

We demonstrate that this embedding is capable of predicting task similarities that match our intuition about semantic and taxonomic relations between different visual tasks (e. g., tasks based on classifying different types of plants are similar) We also demonstrate the practical value of this framework for the meta-task of selecting a pre-trained feature extractor for a new task.

Meta-Learning

Road Extraction by Deep Residual U-Net

13 code implementations29 Nov 2017

Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis.

Lesion Segmentation Lung Nodule Segmentation +2

$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding

2 code implementations29 May 2019

Deep neural networks often require copious amount of labeled-data to train their scads of parameters.

Domain Adaptation

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

533 code implementations NAACL 2019

We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers.

Citation Intent Classification Common Sense Reasoning +16