Search Constraints

Start Over
Filtering by: Creator Little, Stefan A. Remove constraint Creator: Little, Stefan A. Resource Type Dissertation Remove constraint Resource Type: Dissertation Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

Search Results

  • Semantic embodied navigation : developing agents that navigate from language and vision

    Creator:
    Krantz, Jacob
    Abstract:
    Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
    Resource Type:
    Dissertation
    Full Text:
    Embodied AI Workshop for giving me a conference home and community. To my PhD committee, Stefan Lee

  • Explaining and Improving Neural Machine Translation

    Creator:
    Yang, Yilin
    Abstract:
    Machine Translation, the task of automatically translating between human languages has been studied for decades. This task is used to be solved by count-based statistical models, e.g. Phrase-based Statistical Machine Translation (PBSMT), which solves the translation problem by separately training a statistical language model and a translation model. Recently, Neural...
    Resource Type:
    Dissertation
    Full Text:
    : Explaining and Improving Neural Machine Translation Abstract approved: Prasad Tadepalli & Stefan Lee

  • Multi-Dimensional Task Recognition for Human-Robot Teaming

    Creator:
    Baskaran, Prakash
    Abstract:
    Human-robot teams involve humans and robots collaborating to achieve tasks under various environmental conditions. Successful teaming requires robots to adapt autonomously in real-time to a human teammate's state. An important element of such adaptation is the ability for the robot to infer the tasks performed by their human teammates. Human-robot...
    Resource Type:
    Dissertation
    Full Text:
    -Dimensional Task Recognition for Human-Robot Teaming Abstract approved: Julie A. Adams Human-robot teams

  • The ecological legacy of Indian burning practices in southwestern Oregon

    Creator:
    Carloni, Kenneth R.
    Abstract:
    Two research questions are posed: (1) How have ecosystem conditions changed through time in southwestern Oregon? (2) How have culture-driven and climate-driven processes contributed to ecosystem change in southwestern Oregon? A brief introduction to the Little River study area is followed by a cultural and ecological history of the watershed....
    Resource Type:
    Dissertation
    Full Text:
    contributed to ecosystem change in southwestern Oregon? A brief introduction to the Little River study area

  • "Instead of tumbleweed, we have mitigation systems" : an ethnography of toxics risk, mitigation, and advocacy in IBM's deindustrialized birthplace

    Creator:
    Little, Peter C.
    Abstract:
    This dissertation draws on ethnographic data and political ecological theory to analyze the experience of residents living in the IBM-Endicott Superfund site in Endicott, New York. Combining in-depth narratives and quantitative measures from a household survey, it highlights residents' perceptions of 1) environmental health risk, 2) risk mitigation, 3) deindustrialization...
    Resource Type:
    Dissertation
    Full Text:
    Deindustrialized Birthplace by Peter C. Little A DISSERTATION submitted to Oregon State

  • Towards Direct Simultaneous Speech Translation

    Creator:
    Chen, Junkun
    Abstract:
    Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
    Resource Type:
    Dissertation
    Full Text:
    conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation
    Full Text:
    named entities (real-world objects) is usually harvested from differ- ent sources and organized as a

  • Characterizing and Addressing Dataset Shift with Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
    Resource Type:
    Dissertation
    Full Text:
    dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects

  • Machine learning for computer architecture design and optimization

    Creator:
    Penney, Drew
    Abstract:
    Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
    Resource Type:
    Dissertation
    Full Text:
    Chen Machine learning applied to computer architecture has rapidly transitioned from a theoretical

  • Targeted development of antivirals against influenza A and respiratory syncytial virus

    Creator:
    Lupfer, Christopher
    Abstract:
    Influenza A and Respiratory Syncytial Virus (RSV) are both enveloped, negative strand RNA viruses which infect the respiratory mucosa of animals and humans. Despite decades of research and development of antivirals and vaccines, both of these viruses continue to be a major health concern throughout the world. The focus of...
    Resource Type:
    Dissertation
    Full Text:
    Development of Antivirals against Influenza A and Respiratory Syncytial Virus. Abstract approved