Ran Tian | DeepAI

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∙ 01/02/2023

Towards Modeling and Influencing the Dynamics of Human Learning

Humans have internal models of robots (like their physical capabilities)...

0 Ran Tian, et al. ∙

∙ 10/21/2022

Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale

We present Amos, a stochastic gradient-based optimizer designed for trai...

0 Ran Tian, et al. ∙

∙ 05/23/2022

Simple Recurrence Improves Masked Language Models

In this work, we explore whether modeling recurrence into the Transforme...

0 Tao Lei, et al. ∙

∙ 09/29/2021

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models

An outstanding challenge with safety methods for human-robot interaction...

0 Ran Tian, et al. ∙

∙ 09/26/2021

Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots

A human-centered robot needs to reason about the cognitive limitation an...

0 Ran Tian, et al. ∙

∙ 08/30/2021

Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning

The highly popular Transformer architecture, based on self-attention, is...

0 Ran Tian, et al. ∙

∙ 06/04/2021

Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios

Safety assurance is a critical yet challenging aspect when developing se...

0 Ran Tian, et al. ∙

∙ 03/07/2021

Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data

Reward function, as an incentive representation that recognizes humans' ...

0 Ran Tian, et al. ∙

∙ 10/04/2020

Local Additivity Based Data Augmentation for Semi-supervised NER

Named Entity Recognition (NER) is one of the first stages in deep langua...

0 Jiaao Chen, et al. ∙

∙ 09/03/2020

Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem

Classical game-theoretic approaches for multi-agent systems in both the ...

12 Ran Tian, et al. ∙

∙ 10/19/2019

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation

Neural conditional text generation systems have achieved significant pro...

0 Ran Tian, et al. ∙

∙ 10/16/2019

Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation

For a foreseeable future, autonomous vehicles (AVs) will operate in traf...

0 Ran Tian, et al. ∙

∙ 09/27/2019

Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning

It is a long-standing goal of artificial intelligence (AI) to be superio...

0 Ran Tian, et al. ∙

∙ 10/01/2018

Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts

In this paper, we propose a decision making algorithm for autonomous veh...

0 Ran Tian, et al. ∙

∙ 05/24/2018

Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder

Embedding models for entities and relations are extremely useful for rec...

0 Ryo Takahashi, et al. ∙

∙ 06/08/2016

Learning Semantically and Additively Compositional Distributional Representations

This paper connects a vector-based composition model to a formal semanti...

0 Ran Tian, et al. ∙

∙ 11/26/2015

The Mechanism of Additive Composition

Additive composition (Foltz et al, 1998; Landauer and Dumais, 1997; Mitc...

0 Ran Tian, et al. ∙

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