this is the code for the paper "On Sample Based Explanation Methods for NLP: Efficiency, Faithfulness, and Semantic Evaluation
-
Updated
Aug 4, 2021 - Python
this is the code for the paper "On Sample Based Explanation Methods for NLP: Efficiency, Faithfulness, and Semantic Evaluation
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.
A deep learning approach to solar-irradiance forecasting in sky-videos
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.
code repo associated to the ACL 2023 paper "DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications"
A Testing Framework for Decision-Optimization Model Learning Algorithms
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894
Data for the ACL 2020 paper - Improving Segmentation for Technical Support Problems
Reinforcement learning project that investigates different methods of learning skills that are beneficial for decision making
This code is written in Python and implements a goal-oriented dialog system which takes as input a conversation history as well as the underlying database, and predicts the best next utterance.
Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020
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
Quality Controlled Paraphrase Generation (ACL 2022)
Natural Language (NL) to Linear Temporal Logic (LTL)
Add a description, image, and links to the ibm-research-ai topic page so that developers can more easily learn about it.
To associate your repository with the ibm-research-ai topic, visit your repo's landing page and select "manage topics."