research
∙
08/24/2023
A time multiscale based data-driven approach in cyclic elasto-plasticity
Within the framework of computational plasticity, recent advances show t...
share
research
∙
05/28/2023
Language Models are Pragmatic Speakers
How do language models "think"? This paper formulates a probabilistic co...
research
∙
04/21/2023
A time multiscale decomposition in cyclic elasto-plasticity
For the numerical simulation of time-dependent problems, recent works su...
research
∙
12/21/2022
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities
We mathematically characterize the cognitive capabilities that enable hu...
research
∙
09/21/2022
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia
Humans exploit prior knowledge to describe images, and are able to adapt...
research
∙
09/21/2022
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
Despite significant progress over the past few years, ambiguity is still...
research
∙
05/05/2022
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching
This paper tackles the challenge of forensic medical image matching (FMI...
research
∙
11/07/2021
Global-Local Attention for Emotion Recognition
Human emotion recognition is an active research area in artificial intel...
research
∙
10/14/2021
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework
Reliable AI agents should be mindful of the limits of their knowledge an...
research
∙
02/13/2021
Interactive Learning from Activity Description
We present a novel interactive learning protocol that enables training r...
research
∙
06/14/2020
Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms
We formulate the problem of learning to imitate multiple, non-determinis...
research
∙
03/22/2020
Pre-processing Image using Brightening, CLAHE and RETINEX
This paper focuses on finding the most optimal pre-processing methods co...
research
∙
10/01/2019
Global Voices: Crossing Borders in Automatic News Summarization
We construct Global Voices, a multilingual dataset for evaluating cross-...
research
∙
09/04/2019
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Mobile agents that can leverage help from humans can potentially accompl...
research
∙
12/10/2018
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
We present Vision-based Navigation with Language-based Assistance (VNLA)...
research
∙
11/15/2018
Theoretical Perspective of Deep Domain Adaptation
Deep domain adaptation has recently undergone a big success. Compared wi...
research
∙
09/19/2017
Analogical-based Bayesian Optimization
Some real-world problems revolve to solve the optimization problem _x∈Xf...
research
∙
08/03/2017
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
We describe the University of Maryland machine translation systems submi...
research
∙
07/24/2017
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Machine translation is a natural candidate problem for reinforcement lea...
research
∙
07/18/2016
Imitation Learning with Recurrent Neural Networks
We present a novel view that unifies two frameworks that aim to solve se...
research
∙
08/21/2015