Search Results for author: Chris Gagne

Found 7 papers, 2 papers with code

The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data

no code implementations21 Mar 2024 Alice Baird, Rachel Manzelli, Panagiotis Tzirakis, Chris Gagne, Haoqi Li, Sadie Allen, Sander Dieleman, Brian Kulis, Shrikanth S. Narayanan, Alan Cowen

In this short white paper, to encourage researchers with limited access to large-datasets, the organizers first outline several open-source datasets that are available to the community, and for the duration of the workshop are making several propriety datasets available.

Event Detection Speech Emotion Recognition

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

no code implementations29 Feb 2024 Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, Stefanos Zafeiriou, Irene Kotsia, Alice Baird, Chris Gagne, Chunchang Shao, Guanyu Hu

This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024.

Action Unit Detection Arousal Estimation +1

The Inner Sentiments of a Thought

no code implementations4 Jul 2023 Chris Gagne, Peter Dayan

Transformer-based large-scale language models (LLMs) are able to generate highly realistic text.

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests

no code implementations28 Apr 2023 Björn W. Schuller, Anton Batliner, Shahin Amiriparian, Alexander Barnhill, Maurice Gerczuk, Andreas Triantafyllopoulos, Alice Baird, Panagiotis Tzirakis, Chris Gagne, Alan S. Cowen, Nikola Lackovic, Marie-José Caraty, Claude Montacié

The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the Emotion Share Sub-Challenge, a regression on speech has to be made; and in the Requests Sub-Challenges, requests and complaints need to be detected.

regression

Catastrophe, Compounding & Consistency in Choice

no code implementations12 Nov 2021 Chris Gagne, Peter Dayan

Conditional value-at-risk (CVaR) precisely characterizes the influence that rare, catastrophic events can exert over decisions.

Decision Making

Two steps to risk sensitivity

1 code implementation NeurIPS 2021 Chris Gagne, Peter Dayan

Distributional reinforcement learning (RL) -- in which agents learn about all the possible long-term consequences of their actions, and not just the expected value -- is of great recent interest.

Decision Making Distributional Reinforcement Learning +2

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