Ed Chi
17 papers · 2018–2024 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(15)
Core Methods
(8)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(6)
Application Areas
(5)
Deep Learning
(4)
Natural Language Processing
(4)
Learning Types Β· Deep Learning
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Optimization & Theory
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Reinforcement Learning
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Applications
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Learning Paradigms
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Keywords
large language model
(3)
spurious correlation
(2)
batch reinforcement learning
(2)
transfer learning
(2)
model robustness
(2)
multi-task learning
(2)
counterfactual data augmentation
(2)
behavior policy
(2)
adversarial learning
(2)
policy optimization
(1)
policy gradient
(1)
text classification
(1)
similarity learning
(1)
collaborative filtering
(1)
few-shot learning
(1)
matrix factorization
(1)
sentiment classification
(1)
domain adaptation
(1)
adversarial robustness
(1)
chain-of-thought reasoning
(1)
Papers
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Recommender Systems with Generative Retrieval
NeurIPS 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
NeurIPS 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
NeurIPS 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NeurIPS 2022
Batch Reinforcement Learning Through Continuation Method
ICLR 2021
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
EMNLP 2021
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
NeurIPS 2021
Improving Calibration through the Relationship with Adversarial Robustness
NeurIPS 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
AISTATS 2021
BRPO: Batch Residual Policy Optimization
IJCAI 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
Fairness without Demographics through Adversarially Reweighted Learning
NeurIPS 2020
Efficient Training on Very Large Corpora via Gramian Estimation
ICLR 2019
Factorized Recurrent Neural Architectures for Longer Range Dependence
AISTATS 2018