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02/22/2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Symbolic regression (SR) is the problem of learning a symbolic expressio...
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02/06/2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Recent works successfully leveraged Large Language Models' (LLM) abiliti...
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06/20/2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Reinforcement learning (RL) in long horizon and sparse reward tasks is n...
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06/14/2022
Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems
Multi-goal Reinforcement Learning has recently attracted a large amount ...
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04/25/2022
Which Discriminator for Cooperative Text Generation?
Language models generate texts by successively predicting probability di...
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02/24/2022
A fair pricing model via adversarial learning
At the core of insurance business lies classification between risky and ...
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01/28/2022
Generative Cooperative Networks for Natural Language Generation
Generative Adversarial Networks (GANs) have known a tremendous success f...
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09/10/2021
Fairness without the sensitive attribute via Causal Variational Autoencoder
In recent years, most fairness strategies in machine learning models foc...
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06/11/2021
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Due to the discrete nature of words, language GANs require to be optimiz...
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06/10/2021
A Neural Tangent Kernel Perspective of GANs
Theoretical analyses for Generative Adversarial Networks (GANs) generall...
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04/15/2021
Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation
In this paper, we explore how QuestEval, which is a Text-vs-Text metric,...
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04/07/2021
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks
To improve policy robustness of deep reinforcement learning agents, a li...
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03/23/2021
SAFEval: Summarization Asks for Fact-based Evaluation
Summarization evaluation remains an open research problem: current metri...
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11/24/2020
Stochastic sparse adversarial attacks
Adversarial attacks of neural network classifiers (NNC) and the use of r...
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09/07/2020
Learning Unbiased Representations via Rényi Minimization
In recent years, significant work has been done to include fairness cons...
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08/30/2020
Adversarial Learning for Counterfactual Fairness
In recent years, fairness has become an important topic in the machine l...
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08/04/2020
PDE-Driven Spatiotemporal Disentanglement
A recent line of work in the machine learning community addresses the pr...
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06/08/2020
ColdGANs: Taming Language GANs with Cautious Sampling Strategies
Training regimes based on Maximum Likelihood Estimation (MLE) suffer fro...
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04/30/2020
MLSUM: The Multilingual Summarization Corpus
We present MLSUM, the first large-scale MultiLingual SUMmarization datas...
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02/24/2020
Discriminative Adversarial Search for Abstractive Summarization
We introduce a novel approach for sequence decoding, Discriminative Adve...
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02/21/2020
Stochastic Latent Residual Video Prediction
Designing video prediction models that account for the inherent uncertai...
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11/13/2019
Fair Adversarial Gradient Tree Boosting
Fair classification has become an important topic in machine learning re...
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11/12/2019
Fairness-Aware Neural Réyni Minimization for Continuous Features
The past few years have seen a dramatic rise of academic and societal in...
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09/11/2019
Learning Dynamic Author Representations with Temporal Language Models
Language models are at the heart of numerous works, notably in the text ...
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09/04/2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Abstractive summarization approaches based on Reinforcement Learning (RL...
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12/28/2018
A Variational Topological Neural Model for Cascade-based Diffusion in Networks
Many works have been proposed in the literature to capture the dynamics ...
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10/06/2015