These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Overview

Few-shot-NLEs

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".

You can find the small-e-WinoGrande dataset in the folder with that name.

Owner
Yordan Yordanov
Yordan Yordanov
Light-Head R-CNN

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The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

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Keyword-BERT: Keyword-Attentive Deep Semantic Matching

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M3DSSD: Monocular 3D Single Stage Object Detector

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Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

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Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

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Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021).

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Qingtian Zhu 97 Dec 30, 2022
A set of tools for Namebase and HNS

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I-BERT: Integer-only BERT Quantization

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Official implementation of paper Gradient Matching for Domain Generalization

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Kaggle | 9th place (part of) solution for the Bristol-Myers Squibb – Molecular Translation challenge

Part of the 9th place solution for the Bristol-Myers Squibb – Molecular Translation challenge translating images containing chemical structures into I

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Model serving at scale

Run inference at scale Cortex is an open source platform for large-scale machine learning inference workloads. Workloads Realtime APIs - respond to pr

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Pytorch Performace Tuning, WandB, AMP, Multi-GPU, TensorRT, Triton

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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

AugMix Introduction We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented ima

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Brain tumor detection using Convolution-Neural Network (CNN)

Detect and Classify Brain Tumor using CNN. A system performing detection and classification by using Deep Learning Algorithms using Convolution-Neural Network (CNN).

assia 1 Feb 07, 2022
Quick program made to generate alpha and delta tables for Hidden Markov Models

HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i

Adem Odza 1 Dec 04, 2021
TensorFlow2 Classification Model Zoo playing with TensorFlow2 on the CIFAR-10 dataset.

Training CIFAR-10 with TensorFlow2(TF2) TensorFlow2 Classification Model Zoo. I'm playing with TensorFlow2 on the CIFAR-10 dataset. Architectures LeNe

Chia-Hung Yuan 16 Sep 27, 2022
Distributionally robust neural networks for group shifts

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization This code implements the g

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Learning trajectory representations using self-supervision and programmatic supervision.

Trajectory Embedding for Behavior Analysis (TREBA) Implementation from the paper: Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Y

58 Jan 06, 2023