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Invited Talk: Eric P. Xing. A Data-Centric View for Composable Natural Language Processing.
Eric Xing
Fri Jul 23 10:20 AM -- 11:00 AM (PDT) @
Speaker email: epxing@cs.cmu.edu
Author Information
Eric Xing (Petuum Inc. and CMU)
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2021 : Towards Principled Disentanglement for Domain Generalization »
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2023 : Counterfactual Generation with Identifiability Guarantees »
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2023 : Identification of Nonlinear Latent Hierarchical Causal Models »
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2023 : Making Scalable Meta Learning Practical »
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2022 Workshop: The First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward »
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2022 Poster: SDQ: Stochastic Differentiable Quantization with Mixed Precision »
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2022 Spotlight: SDQ: Stochastic Differentiable Quantization with Mixed Precision »
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2021 Workshop: Self-Supervised Learning for Reasoning and Perception »
Pengtao Xie · Shanghang Zhang · Ishan Misra · Pulkit Agrawal · Katerina Fragkiadaki · Ruisi Zhang · Tassilo Klein · Asli Celikyilmaz · Mihaela van der Schaar · Eric Xing -
2021 Workshop: Interpretable Machine Learning in Healthcare »
Yuyin Zhou · Xiaoxiao Li · Vicky Yao · Pengtao Xie · DOU QI · Nicha Dvornek · Julia Schnabel · Judy Wawira · Yifan Peng · Ronald Summers · Alan Karthikesalingam · Lei Xing · Eric Xing -
2019 Workshop: Adaptive and Multitask Learning: Algorithms & Systems »
Maruan Al-Shedivat · Anthony Platanios · Otilia Stretcu · Jacob Andreas · Ameet Talwalkar · Rich Caruana · Tom Mitchell · Eric Xing -
2019 Workshop: Learning and Reasoning with Graph-Structured Representations »
Ethan Fetaya · Zhiting Hu · Thomas Kipf · Yujia Li · Xiaodan Liang · Renjie Liao · Raquel Urtasun · Hao Wang · Max Welling · Eric Xing · Richard Zemel -
2019 Poster: Theoretically Principled Trade-off between Robustness and Accuracy »
Hongyang Zhang · Yaodong Yu · Jiantao Jiao · Eric Xing · Laurent El Ghaoui · Michael Jordan -
2019 Oral: Theoretically Principled Trade-off between Robustness and Accuracy »
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2018 Poster: Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis »
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2018 Poster: Transformation Autoregressive Networks »
Junier Oliva · Kumar Avinava Dubey · Manzil Zaheer · Barnabás Póczos · Ruslan Salakhutdinov · Eric Xing · Jeff Schneider -
2018 Oral: Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis »
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2018 Oral: Transformation Autoregressive Networks »
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2018 Poster: Nonoverlap-Promoting Variable Selection »
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2018 Poster: DiCE: The Infinitely Differentiable Monte Carlo Estimator »
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2018 Poster: Gated Path Planning Networks »
Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot · Eric Xing · Ruslan Salakhutdinov -
2018 Oral: Gated Path Planning Networks »
Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot · Eric Xing · Ruslan Salakhutdinov -
2018 Oral: Nonoverlap-Promoting Variable Selection »
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2018 Oral: DiCE: The Infinitely Differentiable Monte Carlo Estimator »
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2017 Poster: Toward Controlled Generation of Text »
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2017 Talk: Toward Controlled Generation of Text »
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2017 Poster: Uncorrelation and Evenness: a New Diversity-Promoting Regularizer »
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2017 Poster: Learning Latent Space Models with Angular Constraints »
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2017 Talk: Learning Latent Space Models with Angular Constraints »
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2017 Poster: Post-Inference Prior Swapping »
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2017 Talk: Post-Inference Prior Swapping »
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