AI Plans that Meet Expectations
Explore AI planning techniques to create robust, efficient solutions that align with user expectations and business requirements.
Machine Intelligence with Humans in Mind - Ethics in AI Development
Explore computer ethics in the age of machine intelligence, examining responsibilities and actions for tech professionals and users alike.
Scaling of Information in Natural Language - 2004
Explore the relationship between semantic accuracy and representation complexity in language using information theory and hierarchical clustering techniques.
Neural Architecture Search: Coming of Age
Explore Neural Architecture Search advancements, including benchmarks, speedup techniques, AutoML integration, and neural ensemble search. Gain insights from a leading expert in automated machine learning.
Neuromorphic Language Understanding - Deep Neural Networks for Low-Power Language Processing
Explore recurrent neural networks for language processing and their adaptation to ultra-low power neuromorphic hardware, bridging artificial intelligence with biologically-inspired models of cognition.
Transliteration-Based Approaches for Multilingual and Code-Switched Languages
Explore innovative approaches for multilingual ASR systems, focusing on code-switching challenges and transliteration-based solutions to improve accuracy and scalability in diverse linguistic environments.
Guaranteed Training of Neural Networks Using Tensor Methods - 2015
Explore guaranteed neural network training using tensor methods. Learn about overcoming non-convexity, risk bounds, and combining unsupervised learning with supervised tasks.
Modeling Human Communication Dynamics - 2016
Explore computational models for analyzing and predicting human communication behaviors, with applications in healthcare, education, business, and social media.
Parsing the Web: Large-Scale Syntactic Processing - 2009 Workshop Closing Presentation
Explore large-scale syntactic processing techniques for parsing web content in this comprehensive workshop presentation from CLSP at Johns Hopkins University.
Learning Neural Network Hyperparameters for Machine Translation - 2019
Explore neural network hyperparameter optimization for machine translation, focusing on efficient methods to learn parameters during training without extensive grid searches.
Deep Learning and Reasoning - 2018
Explore integrating logical reasoning with neural systems using TensorLog, a probabilistic first-order logic system for scalable symbolic reasoning and neural learning in AI tasks.
An Overview of Deep Learning Frameworks and Introduction to PyTorch
Explore deep learning frameworks, focusing on PyTorch. Learn about research workflows, data processing, and model building from Facebook AI researcher Soumith Chintala.
Binary and Multiclass Calibration in Speaker and Language Recognition
Explore probabilistic classification calibration in speaker and language recognition, focusing on cross-entropy's role in optimizing classifier performance across diverse applications.
Low-Pass Semantics with a Bit of Discourse - November 2013
Explore advances in natural language processing and the challenge of creating systems that understand text, with insights on leveraging distributional regularities for effective analysis.
Recent Progress in Acoustic Speaker and Language Recognition - October 2013
Explore recent advancements in speaker and language recognition, focusing on GMM subspace methods, pattern classification, and Bayesian approaches for improved performance and domain adaptation.
Learning with Marginalized Corrupted Features
Explore machine learning with marginalized corrupted features, a novel approach to enhance generalization and scalability in finite data scenarios. Discover applications in risk minimization and document representation.
Neural Networks for Speech Recognition - 2013
Explore the evolution of neural networks in speech recognition, from early experiments to modern hybrid HMM/MLP approaches, with insights from a leading expert in the field.
Behavioral, Neuroscience, and Computational Methods in the Study of Human Speech
Explore modality-specific speech processing through behavioral, brain imaging, and computational methods. Discover evidence challenging conventional theories of abstract linguistic encoding in speech perception.
Towards a Computational Model of Human Speech Recognition
Explore computational approaches to speech recognition based on distinctive features, incorporating statistical learning models guided by human speech production and perception.
My Adventures With Speech - 2013
Explore a 40-year journey in speech research, delving into personal insights, challenges, and breakthroughs in understanding human communication through speech.
Context-Sensitivity and Stochastic Unification-Based Grammars - 2000
Explore context-sensitive interactions in probabilistic grammars, log-linear models, and stochastic unification-based grammars with implications for optimality theory.