Jiefeng Chen
13 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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(10)
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The Questioner
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Century Club Β· Bronze
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(54)
Venues
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Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Learning Types Β· Machine Learning
(9)
Core AI Β· Artificial Intelligence
(8)
Deep Learning
(5)
Application Areas
(3)
Core Methods
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Applications
(1)
Architectures
(1)
Core AI Β· Computer Vision
(1)
Keywords
adversarial training
(4)
adversarial robustness
(3)
neural network
(2)
integrated gradient
(2)
representation learning
(2)
large language model
(2)
distribution shift
(2)
concept-based explanation
(1)
sample complexity
(1)
continual learning
(1)
question answering
(1)
uncertainty quantification
(1)
neural network interpretability
(1)
feature attribution
(1)
robust optimization
(1)
transduction
(1)
transductive learning
(1)
nearest neighbor search
(1)
selective classification
(1)
error detection
(1)
Papers
DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
ACL 2026
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
ICML 2024
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
EMNLP 2023
Concept-based Explanations for Out-of-Distribution Detectors
ICML 2023
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
ICLR 2023
Stratified Adversarial Robustness with Rejection
ICML 2023
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
ICLR 2023
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
ICLR 2022
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
NeurIPS 2021
Concise Explanations of Neural Networks using Adversarial Training
ICML 2020
Robust Attribution Regularization
NeurIPS 2019
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
ICML 2018