Below are links to recordings of seminars hosted by the Center for Language and Speech Processing at Johns Hopkins University. We endeavor to record most of our events for the benefit of those unable to attend, as well as those who wish to review the information presented. Recordings not listed here are available for internal CLSP viewing on request.
For recordings of the most recent seminars, visit CLSP’s YouTube channel.
Kenneth Heafield (University of Edinburgh) “Faster Neural Machine Translation”
Nazli Goharian (Georgetown University)”Social Media and Mental Health”
Heng Ji (RPI) Universal Information Extraction
Kenton Murray (University of Notre Dame) “Learning Neural Network Hyperparameters for Machine Translation”
Thomas Schatz (UMD) “Quantitative Models of Adult Phonetic Category Perception and Infant Phonetic Learning”
Brendan O’Connor (UMass Amherst) “Demographic Bias in Social Media Language Analysis: A Case Study of African-American English”
James Foulds (UMBC) “Differential Fairness for Machine Learning and Artificial Intelligence Systems: Unbiased Decisions with Biased Data”
David Harrison (Swarthmore College and National Geographic Society) “Endangered Languages”
Chin-Hui Lee (Georgia Tech) “A Regression Approach to Spectral Mapping for Speech Enhancement”
Carolyn Rose (CMU) “Who is the Bridge Between the What and the How”
Tamara Broderick (MIT) “Automated Scalable Bayesian Inference via Data Summarization”
Jennifer Chu-Carroll (Elemental Cognition)”Dialoguing to a Better Understanding”
Jon Barker (University of Sheffield) “Distant Microphone Conversational Speech Recognition in Domestic Environments: Some Initital Outcomes of the 5th CHiME Challenge”
Gautham Mysore (Adobe Research) “Simplifying the Creation of Voice-based Content”
Panos Georgiou (USC) “Speech Processing & Machine Learning for Behavior Analysis”
William Cohen (Google AI) “Logic and Reasoning in the Age of Deep Learning”
Omri Abend (Hebrew University) “UCCA: A Computational Approach to Cross-Linguistic Semantic Representation”
Yulia Tsvetkov(CMU): Towards Flexible but Controllable Language Generation
Kyunghyun Cho (New York University): Three recent directions in neural machine translation
Brian Roark (Google AI): Romanization, non-standard orthography and text entry
René Vidal (Johns Hopkins University): Mathematics of Deep Learning
Debra Mathews (Johns Hopkins University): Ethics of AI in Healthcare and Beyond
Mari Ostendorf (University of Washington) “Multi-Factor Context-Aware Language Modeling”
Been Kim (Google) “Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
James Pustejovsky (Brandeis University) “Modeling Common Ground for Multimodal Communication”
Mike Hopcroft (Microsoft) “How Bing Uses Bloom Filters for Search”
Richard Sproat (Google Research) “Neural Models of Text Normalization for Speech Applications”
Kate Saenko (Boston University) “Connecting Vision and Language End-to-End”
Amir Zeldes (Georgetown University) “Feature Rich Models for Discourse Signaling”
Joao Graca (University of Lisbon) “Unbabel: How to Combine AI with the Crowd to Scale Professional-Quality Translation”
David Smith (Northeastern University) “Modeling Text Dependencies: Information Cascades, Translations and Multi-Input Attention”
Tara Sainath (Google Research) “End-to-End Modeling for Speech Recognition”
Ken Grant (Walter Reed National Military Medical Center) “Speech Perception with Minimal Acoustics Cues Informs Novel Approaches to Automatic Speech Recognition”
Andrew Gordon (USC) “Automated Behavior Interpretation Using Etcetera Abduction”
Jinyu Li (Microsoft) “Deep Learning Acoustic Model in Microsoft Cortana Voice Assistant”
Jeffrey Siskind (Purdue University) “Decoding the Brain to Help Build Machines”
Kate Knill (University of Cambridge) “Are All Languages Created Equal for Speech Recognition?”
Katharina Kann (LMU Munich) “Low-resource Morphological Generation with Neural Sequence-to-Sequence Models”
Sharon Gannot (Bar-Ilan University, Israel) “Speech Enhancement Using a Deep Mixture of Experts”
Amanda Stent (Bloomberg) “Text Analytics in Finance: A Case Study and Some Considerations”
Malcolm Slaney (Google) “Auditory Attention: From Saliency to Models to Applications”
Michael Auli (Facebook) “Sequence to Sequence Learning: Fast Training and Inference with Gated Convolutions”
Satinder Singh (University of Michigan) “Deep Reinforcement Learning for Sequential Decision Making Tasks with Natural Language Interaction”
Lambert Mathias (Amazon) “Natural Language Understanding with Heterogenous Schema”
Tal Linzen (JHU) “Structure-Sensitive Dependency Learning in Recurrent Neural Networks”
Soumith Chintala (Facebook, New York) “An Overview of Deep Learning Frameworks and an Introduction to PyTorch”
Xuedong Huang (Microsoft) “Cognitive Toolkit and Language Processing”