Artificial intelligence

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Scalable Alignment of Large Language Models Towards Truth Seeking, Complex Reasoning, and Human Values

thesis posted on 2025-05-02

Zhiqing Sun

SOFTWARE

GreedyBlock-training code

software posted on 2024-10-16

Neural processes underlying cognitive control during language production

thesis posted on 2024-09-06

Tara Pirnia

Deep Learning for Automated Video Assistant Referee System (VARS) in Football

poster posted on 2024-07-03

SOFTWARE

TartanAviation: A Multi-Modal Dataset for Aviation Applications

software posted on 2024-05-10

Multihop Multimodal QA using Joint Attentive Training and Hierarchical Attentive Vision Language transformers

preprint posted on 2024-01-19

Multihop and Multimodal Question Answering on WebQA

poster posted on 2024-01-19

Ensuring the Safety of Reinforcement Learning Algorithms at Training and Deployment

thesis posted on 2023-12-13

Melrose Roderick

An Interactive Conversational Agent to Aid Human Learning

preprint posted on 2023-12-01

Human-Centered Machine Learning: A Statistical and Algorithmic Perspective

thesis posted on 2023-10-20

Leqi Liu

Improved Acoustic and Adaptive Language Models for Continuous Speech Recognition

conference contribution posted on 2023-02-07

Chaitin-Kolmogorov Complexity and Generalization in Neural Networks

conference contribution posted on 2023-02-03

Novel Methods for the Design and Analysis of Molecular Dynamics Simulations of Protein Systems

thesis posted on 2023-01-31

Christopher Kottke

The 1997 CMU Sphinx-3 English Broadcast News Transcription System

conference contribution posted on 2022-12-21

Combine and conquer: methods for multitask learning in biology and language

thesis posted on 2022-12-13

Meghana Kshirsagar

Reading and Reasoning with Knowledge Graphs

thesis posted on 2022-12-13

Matthew Gardner

Bridging Language in Machines with Language in the Brain

thesis posted on 2022-12-02

Mariya Toneva

The Coupled Bootstrap Framework for Risk and Error Estimation

thesis posted on 2022-09-30

Natalia Lombardi de Oliveira

Leveraging Stances in Conversations for the Assessment of Contentious events in Twitter

thesis posted on 2022-08-16

Ramon Alfonso Villa Cox

Understanding, Exploiting and Improving Inter-view Relationships

thesis posted on 2022-06-09

Sibi Venkatesan

Towards Robust and Resilient Machine Learning

thesis posted on 2022-04-21

Adarsh Prasad

Applications of Point Process Modeling to Spiking Neurons

thesis posted on 2022-02-18

Yu Chen

Improved Mapping of Information Processing in the Brain During Naturalistic Experiments

thesis posted on 2021-12-16

Anand Bollu

DATASET

TrajAir: A General Aviation Trajectory Dataset

dataset posted on 2021-06-30

Machine Learning and Multiagent Preferences

thesis posted on 2021-04-14

Ritesh Noothigattu

Provable, Structured, and Efficient Methods for Robustness of Deep Networks to Adversarial Examples

thesis posted on 2021-01-25

Eric Wong

Learning DAGs with Continuous Optimization

thesis posted on 2021-01-12

Xun Zheng

Accelerating Text-as-Data Research in Computational Social Science

thesis posted on 2020-03-13

Dallas Card

Towards Literate Artificial Intelligence

thesis posted on 2020-02-26

Mrinmaya Sachan

Effective and Efficient Learning at Scale

thesis posted on 2020-02-25

Wei Yu

Post-inference Methods for Scalable Probabilistic Modeling and Sequential Decision Making

thesis posted on 2020-02-25

William Neiswanger

Multi-View Relationships for Analytics and Inference

thesis posted on 2020-02-24

Eric Lei

Strategic Exploration in Reinforcement Learning - New Algorithms and Learning Guarantees

thesis posted on 2020-02-24

Christoph Dann

Estimating Probability Distributions and their Properties

thesis posted on 2020-02-24

Shashank Singh

Learning Generative Models using Transformations

thesis posted on 2020-02-24

Chun-liang Li

Statistical Approach for Functionally Validating Transcription Factor Bindings Using Population SNP and Gene Expression Data

thesis posted on 2019-10-18

Jing Xiang

New Advances in Sparse Learning, Deep Networks, and Adversarial Learning: Theory and Applications

thesis posted on 2019-07-01

Hongyang Zhang

Selective Data Acquisition in Learning and Decision Making Problems

thesis posted on 2019-07-01

Yining Wang

Nonparametric Methods with Total Variation Type Regularization

thesis posted on 2019-07-01

Veeranjaneyulu Sadhanala

Using Machine Learning for Time Series to Elucidate Sentence Processing in the Brain

thesis posted on 2019-07-01

Nicole Rafidi