ibm-research-ai
There are 43 repositories under ibm-research-ai topic.
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
primeqa/primeqa
The prime repository for state-of-the-art Multilingual Question Answering research and development.
IBM/FfDL
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
IBM/lale
Library for Semi-Automated Data Science
IBM/regression-transformer
Regression Transformer (2023; Nature Machine Intelligence)
IBM/commonsense-rl
Knowledge-Aware RL agents with Commonsense Reasoning
IBM/quality-controlled-paraphrase-generation
Quality Controlled Paraphrase Generation (ACL 2022)
IBM/nl2ltl
Natural Language (NL) to Linear Temporal Logic (LTL)
IBM/Autozoom-Attack
Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” , published at AAAI 2019
IBM/Contrastive-Explanation-Method
Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives”
IBM/ZOO-Attack
Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017
IBM/CLEVER-Robustness-Score
Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018
IBM/Image-Captioning-Attack
Codes for reproducing the adversarial attacks on image captioning systems in “Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning,” ACL 2018
IBM/CROWN-Robustness-Certification
CROWN: A Neural Network Verification Framework for Networks with General Activation Functions
IBM/graph_ensemble_learning
Graph Ensemble Learning
watson-intu/self
Intu is a Cognitive Embodiment Middleware for AI on the edge.
IBM/cc-dbp
A dataset for knowledge base population research using Common Crawl and DBpedia.
IBM/Semantic-Search-for-Sustainable-Development
Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets. For example, it can be used to mine the national development plan documents of a country and identify pieces of text that correspond to any of the SDGs in order to verify alignment of the plan with the SDGs.
IBM/model-sanitization
Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020
IBM/online-alt-min
Source code for paper Choromanska et al. -- Beyond Backprop: Online Alternating Minimization with Auxiliary Variables -- http://proceedings.mlr.press/v97/choromanska19a.html
tomsercu/FisherGAN
Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675
IBM/EAD-Attack
Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018
HumanBehaviourChangeProject/Info-extract
Repository of the HBCP project.
IBM/SIC
Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019
tomsercu/SobolevGAN-SSL
Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894
IBM/mixed-migration-forecasting
Forecasting mixed migration for the Danish Refugee Council.
IBM/ImageNet-Robustness
Codes for reproducing robustness-accuracy analysis in "Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models", ECCV 2018
kushalchauhan98/ticket-segmentation
Data for the ACL 2020 paper - Improving Segmentation for Technical Support Problems
IBM/domain-adaptive-attribution-robustness
code repo associated to the ACL 2023 paper "DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications"
IBM/doframework
A Testing Framework for Decision-Optimization Model Learning Algorithms
IBM/IBM-Extended-Markov-Ratio-Decision-Process
This repo includes code referenced in the paper A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning by Alexander Zadorojniy, Takayuki Osogami, and Orit Davidovich to appear in IJCAI 2023.
IBM/Parameter-Seed-Set
Planning tasks succinctly represent labeled transition systems, with each ground action corresponding to a label. This granularity, however, is not necessary for solving planning tasks and can be harmful, especially for model-free methods. In this work, we propose automatic approach to reduce the label sets for planning domains.