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08/28/2023
Policy Diversity for Cooperative Agents
Standard cooperative multi-agent reinforcement learning (MARL) methods a...
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08/18/2023
Learning Computational Efficient Bots with Costly Features
Deep reinforcement learning (DRL) techniques have become increasingly us...
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11/18/2022
Building a Subspace of Policies for Scalable Continual Learning
The ability to continuously acquire new knowledge and skills is crucial ...
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09/27/2022
Regularized Soft Actor-Critic for Behavior Transfer Learning
Existing imitation learning methods mainly focus on making an agent effe...
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05/31/2022
Interactive Query Clarification and Refinement via User Simulation
When users initiate search sessions, their queries are often unclear or ...
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03/21/2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL
In reinforcement learning, the graph Laplacian has proved to be a valuab...
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03/11/2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
There has been significant progress in creating machine learning models ...
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01/10/2022
State of the Art of User Simulation approaches for conversational information retrieval
Conversational Information Retrieval (CIR) is an emerging field of Infor...
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10/27/2021
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
Learning meaningful behaviors in the absence of reward is a difficult pr...
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10/15/2021
SaLinA: Sequential Learning of Agents
SaLinA is a simple library that makes implementing complex sequential le...
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10/11/2021
Learning a subspace of policies for online adaptation in Reinforcement Learning
Deep Reinforcement Learning (RL) is mainly studied in a setting where th...
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06/17/2021
On Anytime Learning at Macroscale
Classical machine learning frameworks assume access to a possibly large ...
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12/23/2020
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Existing literature in Continual Learning (CL) has focused on overcoming...
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06/01/2020
Concept Matching for Low-Resource Classification
We propose a model to tackle classification tasks in the presence of ver...
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05/06/2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
We study the problem of learning exploration-exploitation strategies tha...
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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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07/10/2019
Large Memory Layers with Product Keys
This paper introduces a structured memory which can be easily integrated...
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06/24/2019
Binary Stochastic Representations for Large Multi-class Classification
Classification with a large number of classes is a key problem in machin...
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06/12/2019
Unsupervised Question Answering by Cloze Translation
Obtaining training data for Question Answering (QA) is time-consuming an...
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05/28/2019
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
With the advent of deep neural networks, some research focuses towards u...
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05/27/2019
Unsupervised Object Segmentation by Redrawing
Object segmentation is a crucial problem that is usually solved by using...
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11/16/2018
Stochastic Adaptive Neural Architecture Search for Keyword Spotting
The problem of keyword spotting i.e. identifying keywords in a real-time...
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11/01/2018
Multiple-Attribute Text Style Transfer
The dominant approach to unsupervised "style transfer" in text is based ...
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08/29/2018
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
Search-oriented conversational systems rely on information needs express...
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04/23/2018
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery
We introduce a dynamical spatio-temporal model formalized as a recurrent...
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04/20/2018
Phrase-Based & Neural Unsupervised Machine Translation
Machine translation systems achieve near human-level performance on some...
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11/01/2017
Multi-View Data Generation Without View Supervision
The development of high-dimensional generative models has recently gaine...
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10/31/2017
Unsupervised Machine Translation Using Monolingual Corpora Only
Machine translation has recently achieved impressive performance thanks ...
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10/11/2017
Word Translation Without Parallel Data
State-of-the-art methods for learning cross-lingual word embeddings have...
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06/01/2017
Fader Networks: Manipulating Images by Sliding Attributes
This paper introduces a new encoder-decoder architecture that is trained...
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11/21/2016
Options Discovery with Budgeted Reinforcement Learning
We consider the problem of learning hierarchical policies for Reinforcem...
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12/20/2013
Sequentially Generated Instance-Dependent Image Representations for Classification
In this paper, we investigate a new framework for image classification t...
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04/11/2012
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
This paper aims at the problem of link pattern prediction in collections...
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04/11/2012
Modeling Relational Data via Latent Factor Blockmodel
In this paper we address the problem of modeling relational data, which ...
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02/29/2012
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization
The use of Reinforcement Learning in real-world scenarios is strongly li...
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08/29/2011
Datum-Wise Classification: A Sequential Approach to Sparsity
We propose a novel classification technique whose aim is to select an ap...
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07/07/2011