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08/16/2023
Proprioceptive Learning with Soft Polyhedral Networks
Proprioception is the "sixth sense" that detects limb postures with moto...
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08/16/2023
Autoencoding a Soft Touch to Learn Grasping from On-land to Underwater
Robots play a critical role as the physical agent of human operators in ...
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02/11/2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP
Modern NLP systems exhibit a range of biases, which a growing literature...
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10/17/2022
Systematic Evaluation of Predictive Fairness
Mitigating bias in training on biased datasets is an important open prob...
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05/05/2022
Optimising Equal Opportunity Fairness in Model Training
Real-world datasets often encode stereotypes and societal biases. Such b...
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05/04/2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness
This paper presents fairlib, an open-source framework for assessing and ...
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03/12/2022
Towards Equal Opportunity Fairness through Adversarial Learning
Adversarial training is a common approach for bias mitigation in natural...
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09/22/2021
Contrastive Learning for Fair Representations
Trained classification models can unintentionally lead to biased represe...
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09/21/2021
Evaluating Debiasing Techniques for Intersectional Biases
Bias is pervasive in NLP models, motivating the development of automatic...
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09/16/2021
Balancing out Bias: Achieving Fairness Through Training Reweighting
Bias in natural language processing arises primarily from models learnin...
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01/29/2021
Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping
This paper presents a novel design of a soft tactile finger with omni-di...
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01/25/2021
Diverse Adversaries for Mitigating Bias in Training
Adversarial learning can learn fairer and less biased models of language...
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12/06/2020
Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping
Over the past few decades, efforts have been made towards robust robotic...
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09/17/2019
