YiDing Jiang
14 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (26)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Century Club
(14)
Conferences
NIPS (7)
ICLR (6)
ICML (1)
Top co-authors
Keywords
representation learning
(2)
implicit neural representation
(2)
reinforcement learning
(2)
multi-task learning
(2)
neural network
(2)
attention mechanism
(1)
out-of-distribution generalization
(1)
epistemic uncertainty
(1)
permutation equivariance
(1)
instruction following
(1)
model architecture
(1)
language grounding
(1)
compositional generalization
(1)
hierarchical reinforcement learning
(1)
distribution shift
(1)
maximum likelihood
(1)
weight sharing
(1)
temporal abstraction
(1)
prompt-based learning
(1)
model selection
(1)
Papers
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
ICLR 2025
Training a Generally Curious Agent
ICML 2025
Understanding prompt engineering may not require rethinking generalization
ICLR 2024
On the Joint Interaction of Models, Data, and Features
ICLR 2024
Permutation Equivariant Neural Functionals
NIPS 2023
Language Models are Weak Learners
NIPS 2023
Neural Functional Transformers
NIPS 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
NIPS 2023
Assessing Generalization of SGD via Disagreement
ICLR 2022
Learning Options via Compression
NIPS 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NIPS 2022
Observational Overfitting in Reinforcement Learning
ICLR 2020
Predicting the Generalization Gap in Deep Networks with Margin Distributions
ICLR 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
NIPS 2019