Richard S. Zemel

Carl Vondrick

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FLIRT: Feedback Loop In-context Red Teaming.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Training-free Deep Concept Injection Enables Language Models for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Controlling the World by Sleight of Hand.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.

[BibT_eX]

[DOI]

CoRR, 2023

ICL Markup: Structuring In-Context Learning using Soft-Token Tags.

[BibT_eX]

[DOI]

Marc-Etienne Brunet

Ashton Anderson

Ishaan Preetam Chandratreya

CoRR, 2023

JAB: Joint Adversarial Prompting and Belief Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Privacy in the Time of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Incorporating Fairness in Large Scale NLU Systems.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Distribution-Free Statistical Dispersion Control for Societal Applications.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SurfsUp: Learning Fluid Simulation for Novel Surfaces.

[BibT_eX]

[DOI]

Arjun Mani

Carl Vondrick

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Coordinated Replay Sample Selection for Continual Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Resolving Ambiguities in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

CoRR, 2022

Differentially Private Decoding in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Assessing AI Fairness in Finance.

[BibT_eX]

[DOI]

Computer, 2022

Implications of Model Indeterminacy for Explanations of Automated Decisions.

[BibT_eX]

[DOI]

Marc-Etienne Brunet

Ashton Anderson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Ensembles Work, But Are They Necessary?

[BibT_eX]

[DOI]

Taiga Abe

Estefany Kelly Buchanan

Geoff Pleiss

John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semantically Informed Slang Interpretation.

[BibT_eX]

[DOI]

Zhewei Sun

Yang Xu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Mapping the Multilingual Margins: Intersectional Biases of Sentiment Analysis Systems in English, Spanish, and Arabic.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Language Technology for Equality, 2022

Disentanglement and Generalization Under Correlation Shifts.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

A Computational Framework for Slang Generation.

[BibT_eX]

[DOI]

Zhewei Sun

Yang Xu

Trans. Assoc. Comput. Linguistics, 2021

Online Unsupervised Learning of Visual Representations and Categories.

[BibT_eX]

[DOI]

CoRR, 2021

Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data.

[BibT_eX]

[DOI]

Jacob Kelly

Will Grathwohl

CoRR, 2021

NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes.

[BibT_eX]

[DOI]

CoRR, 2021

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Variational Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identifying and Benchmarking Natural Out-of-Context Prediction Problems.

[BibT_eX]

[DOI]

David Madras

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SketchEmbedNet: Learning Novel Concepts by Imitating Drawings.

[BibT_eX]

[DOI]

Alexander Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning a Universal Template for Few-shot Dataset Generalization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

On Monotonic Linear Interpolation of Neural Network Parameters.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Environment Inference for Invariant Learning.

[BibT_eX]

[DOI]

Jörn-Henrik Jacobsen

Proceedings of the 38th International Conference on Machine Learning, 2021

Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Wandering within a world: Online contextualized few-shot learning.

[BibT_eX]

[DOI]

Michael Louis Iuzzolino

Michael Curtis Mozer

Proceedings of the 9th International Conference on Learning Representations, 2021

Theoretical bounds on estimation error for meta-learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks.

[BibT_eX]

[DOI]

Renjie Liao

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Shortcut learning in deep neural networks.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Flexible Few-Shot Learning with Contextual Similarity.

[BibT_eX]

[DOI]

CoRR, 2020

Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Exchanging Lessons Between Algorithmic Fairness and Domain Generalization.

[BibT_eX]

[DOI]

Jörn-Henrik Jacobsen

CoRR, 2020

Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling.

[BibT_eX]

[DOI]

CoRR, 2020

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Causal Modeling for Fairness In Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Limitations of Conditional Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Efficient Graph Generation with Graph Recurrent Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

[BibT_eX]

[DOI]

CoRR, 2019

Conditional Generative Models are not Robust.

[BibT_eX]

[DOI]

Ethan Fetaya

Jörn-Henrik Jacobsen

CoRR, 2019

High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks.

[BibT_eX]

[DOI]

Amir Rosenfeld

John K. Tsotsos

CoRR, 2019

Incremental Few-Shot Learning with Attention Attractor Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Graph Generation with Graph Recurrent Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies.

[BibT_eX]

[DOI]

Shixiang Gu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lorentzian Distance Learning for Hyperbolic Representations.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Flexibly Fair Representation Learning by Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding the Origins of Bias in Word Embeddings.

[BibT_eX]

[DOI]

Marc-Etienne Brunet

Colleen Alkalay-Houlihan

Ashton Anderson

Proceedings of the 36th International Conference on Machine Learning, 2019

Aggregated Momentum: Stability Through Passive Damping.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

LanczosNet: Multi-Scale Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Dimensionality Reduction for Representing the Knowledge of Probabilistic Models.

[BibT_eX]

[DOI]

Marc T. Law

Amir-massoud Farahmand

Proceedings of the 7th International Conference on Learning Representations, 2019

Excessive Invariance Causes Adversarial Vulnerability.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning.

[BibT_eX]

[DOI]

Shane Gu

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data.

[BibT_eX]

[DOI]

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

A Divergence Minimization Perspective on Imitation Learning Methods.

[BibT_eX]

[DOI]

Shixiang Gu

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Slang Generation as Categorization.

[BibT_eX]

[DOI]

Zhewei Sun

Yang Xu

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data.

[BibT_eX]

[DOI]

CoRR, 2018

The Elephant in the Room.

[BibT_eX]

[DOI]

Amir Rosenfeld

John K. Tsotsos

CoRR, 2018

Aggregated Momentum: Stability Through Passive Damping.

[BibT_eX]

[DOI]

James Lucas

Roger B. Grosse

CoRR, 2018

Neural Guided Constraint Logic Programming for Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer.

[BibT_eX]

[DOI]

David Madras

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Latent Subspaces in Variational Autoencoders.

[BibT_eX]

[DOI]

Jack Klys

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Distillation of Bayesian Neural Network Posteriors.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Adversarially Fair and Transferable Representations.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Reviving and Improving Recurrent Back-Propagation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Relational Inference for Interacting Systems.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Inference in probabilistic graphical models by Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Meta-Learning for Semi-Supervised Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Predict Responsibly: Increasing Fairness by Learning to Defer.

[BibT_eX]

[DOI]

David Madras

Proceedings of the 6th International Conference on Learning Representations, 2018

Graph Partition Neural Networks for Semi-Supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Gradient-based Optimization of Neural Network Architecture.

[BibT_eX]

[DOI]

Will Grathwohl

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Stochastic Segmentation Trees for Multiple Ground Truths.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Few-Shot Learning Through an Information Retrieval Lens.

[BibT_eX]

[DOI]

Eleni Triantafillou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Prototypical Networks for Few-shot Learning.

[BibT_eX]

[DOI]

Kevin Swersky

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Causal Effect Inference with Deep Latent-Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dualing GANs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Spectral Clustering Learning.

[BibT_eX]

[DOI]

Marc T. Law

Proceedings of the 34th International Conference on Machine Learning, 2017

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Joint Embeddings of Scene Graphs and Images.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to generate images with perceptual similarity metrics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

End-to-End Instance Segmentation with Recurrent Attention.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Multiple Instance Metric Learning Using Weakly Supervised Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

End-to-End Instance Segmentation and Counting with Recurrent Attention.

[BibT_eX]

[DOI]

CoRR, 2016

The Variational Fair Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Gated Graph Sequence Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Towards Generalizable Sentence Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Deep Parsimonious Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Training Deep Neural Networks via Direct Loss Minimization.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning to generate images and their descriptions (keynote).

[BibT_eX]

[DOI]

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015

Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Neural Autoregressive Approach to Attention-based Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2015

Direct Loss Minimization for Training Deep Neural Nets.

[BibT_eX]

[DOI]

CoRR, 2015

Learning to generate images with perceptual similarity metrics.

[BibT_eX]

[DOI]

CoRR, 2015

Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.

[BibT_eX]

[DOI]

CoRR, 2015

Exploring Models and Data for Image Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Skip-Thought Vectors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Generative Moment Matching Networks.

[BibT_eX]

[DOI]

Kevin Swersky

Proceedings of the 32nd International Conference on Machine Learning, 2015

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

New learning methods for supervised and unsupervised preference aggregation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Mean-Field Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Learning unbiased features.

[BibT_eX]

[DOI]

Kevin Swersky

CoRR, 2014

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.

[BibT_eX]

[DOI]

Ruslan Salakhutdinov

CoRR, 2014

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.

[BibT_eX]

[DOI]

Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Leveraging user libraries to bootstrap collaborative filtering.

[BibT_eX]

[DOI]

Laurent Charlin

Hugo Larochelle

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Input Warping for Bayesian Optimization of Non-Stationary Functions.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

High Order Regularization for Semi-Supervised Learning of Structured Output Problems.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Multimodal Neural Language Models.

[BibT_eX]

[DOI]

Ruslan Salakhutdinov

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data.

[BibT_eX]

[DOI]

Jasper Snoek

Ryan Prescott Adams

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On the Expressive Power of Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

James Martens

Arkadev Chattopadhyay

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning Fair Representations.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Exploring Compositional High Order Pattern Potentials for Structured Output Learning.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

CRF framework for supervised preference aggregation.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Structured Output Learning with High Order Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Randomized Optimum Models for Structured Prediction.

[BibT_eX]

[DOI]

Ryan Prescott Adams

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

A flexible generative model for preference aggregation.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference 2012, 2012

Fast Exact Inference for Recursive Cardinality Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Collaborative Ranking With 17 Parameters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient Sampling for Bipartite Matching Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Cardinality Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Probabilistic n-Choose-k Models for Classification and Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fairness through awareness.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Theoretical Computer Science 2012, 2012

Active Learning for Matching Problems.

[BibT_eX]

[DOI]

Laurent Charlin

Proceedings of the 29th International Conference on Machine Learning, 2012

Learning to rank by aggregating expert preferences.

[BibT_eX]

[DOI]

Hugo Larochelle

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Loss-sensitive Training of Probabilistic Conditional Random Fields

[BibT_eX]

[DOI]

Hugo Larochelle

CoRR, 2011

Ranking via Sinkhorn Propagation

[BibT_eX]

[DOI]

Ryan Prescott Adams

CoRR, 2011

Interpreting Graph Cuts as a Max-Product Algorithm

[BibT_eX]

[DOI]

CoRR, 2011

Graph Cuts is a Max-Product Algorithm.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

A Framework for Optimizing Paper Matching.

[BibT_eX]

[DOI]

Laurent Charlin

Proceedings of the UAI 2011, 2011

Recommender Systems, Missing Data and Statistical Model Estimation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

2010

Comparing Classification Methods for Longitudinal fMRI Studies.

[BibT_eX]

[DOI]

Neural Comput., 2010

HOP-MAP: Efficient Message Passing with High Order Potentials.

[BibT_eX]

[DOI]

Inmar E. Givoni

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Articulated Structure and Motion.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2010

2009

Automated detection of unusual events on stairs.

[BibT_eX]

[DOI]

Image Vis. Comput., 2009

Collaborative prediction and ranking with non-random missing data.

[BibT_eX]

[DOI]

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

BoltzRank: learning to maximize expected ranking gain.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Learning Flexible Features for Conditional Random Fields.

[BibT_eX]

[DOI]

Liam Stewart

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Encoding and Decoding Spikes for Dynamic Stimuli.

[BibT_eX]

[DOI]

Neural Comput., 2008

Population Coding with Motion Energy Filters: The Impact of Correlations.

[BibT_eX]

[DOI]

F. Klam

Alexandre Pouget

Neural Comput., 2008

Flexible Priors for Exemplar-based Clustering.

[BibT_eX]

[DOI]

Brendan J. Frey

Proceedings of the UAI 2008, 2008

Generative versus discriminative training of RBMs for classification of fMRI images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Characterizing response behavior in multisensory perception with conflicting cues.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning Hybrid Models for Image Annotation with Partially Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Unsupervised Learning of Skeletons from Motion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2008

Learning stick-figure models using nonparametric Bayesian priors over trees.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Latent topic random fields: Learning using a taxonomy of labels.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Fast Population Coding.

[BibT_eX]

[DOI]

Neural Comput., 2007

Collaborative Filtering and the Missing at Random Assumption.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

2006

Learning Parts-Based Representations of Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Topological map learning from outdoor image sequences.

[BibT_eX]

[DOI]

Volodymyr Mnih

J. Field Robotics, 2006

Combining discriminative features to infer complex trajectories.

[BibT_eX]

[DOI]

Simon Osindero

Proceedings of the Machine Learning, 2006

Learning and Incorporating Top-Down Cues in Image Segmentation.

[BibT_eX]

[DOI]

Debajyoti Ray

Proceedings of the Computer Vision, 2006

Automated Detection of Unusual Events on Stairs.

[BibT_eX]

[DOI]

Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006

2005

Unsupervised Learning with Non-Ignorable Missing Data.

[BibT_eX]

[DOI]

Sam T. Roweis

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Probabilistic sequential independent components analysis.

[BibT_eX]

[DOI]

Max Welling

Miguel Á. Carreira-Perpiñán

IEEE Trans. Neural Networks, 2004

Probabilistic Computation in Spiking Populations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Proximity Graphs for Clustering and Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The multiple multiplicative factor model for collaborative filtering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Multiscale Conditional Random Fields for Image Labeling.

[BibT_eX]

[DOI]

Miguel Á. Carreira-Perpiñán

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Efficient Parametric Projection Pursuit Density Estimation.

[BibT_eX]

[DOI]

Max Welling

Proceedings of the UAI '03, 2003

Active Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

An Active Approach to Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Cortical Belief Networks.

[BibT_eX]

[DOI]

Proceedings of the Computational Models for Neuroscience, 2003

2002

Self Supervised Boosting.

[BibT_eX]

[DOI]

Max Welling

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Multiple Cause Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Localist Attractor Networks.

[BibT_eX]

[DOI]

Neural Comput., 2001

2000

Encoding multiple orientations in a recurrent network.

[BibT_eX]

[DOI]

Jonathan W. Pillow

Neurocomputing, 2000

A Gradient-Based Boosting Algorithm for Regression Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

A Generative Model for Attractor Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Managing Uncertainty in Cue Combination.

[BibT_eX]

[DOI]

Zhiyong Yang

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Probabilistic Interpretation of Population Codes.

[BibT_eX]

[DOI]

Alexandre Pouget

Neural Comput., 1998

Distributional Population Codes and Multiple Motion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Combining Probabilistic Population Codes.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Selective Integration: A Model for Disparity Estimation.

[BibT_eX]

[DOI]

Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Lending direction to neural networks.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Neural Networks, 1995

Learning Population Codes by Minimizing Description Length.

[BibT_eX]

[DOI]

Neural Comput., 1995

Competition and Multiple Cause Models.

[BibT_eX]

[DOI]

Neural Comput., 1995

The Helmholtz machine.

[BibT_eX]

[DOI]

Neural Comput., 1995

1994

A minimum description length framework for unsupervised learning.

[BibT_eX]

[DOI]

PhD thesis, 1994

Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex.

[BibT_eX]

[DOI]

Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Developing Population Codes by Minimizing Description Length.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Autoencoders, Minimum Description Length and Helmholtz Free Energy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992

Learning to Segment Images Using Dynamic Feature Binding.

[BibT_eX]

[DOI]

Michael C. Mozer

Christopher K. I. Williams

Marlene Behrmann

Neural Comput., 1992

Directional-Unit Boltzmann Machines.

[BibT_eX]

[DOI]

Christopher K. I. Williams

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

Learning to Segment Images Using Dynamic Feature Binding.

[BibT_eX]

[DOI]

Marlene Behrmann

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Discovering Viewpoint-Invariant Relationships That Characterize Objects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations.

[BibT_eX]

[DOI]