Allan Zhou
13 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (5) π§ Keyword Pioneer
π
Academic Marathon
(5)
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
π
Century Club
(13)
β
The Questioner
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
Conferences
ICLR (6)
NIPS (4)
CVPR (1)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
implicit neural representation
(2)
weight space
(2)
permutation equivariance
(2)
reinforcement learning
(1)
imitation learning
(1)
robotic manipulation
(1)
multi-task learning
(1)
confidence calibration
(1)
model architecture
(1)
sequential prediction
(1)
language grounding
(1)
reinforcement learning from human feedback
(1)
language learning
(1)
weight sharing
(1)
probability calibration
(1)
attention mechanism
(1)
zero-shot learning
(1)
inductive bia
(1)
meta-reinforcement learning
(1)
representation learning
(1)
Papers
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
ICLR 2025
Neural Processing of Tri-Plane Hybrid Neural Fields
ICLR 2024
Universal Neural Functionals
NIPS 2024
Robot Fleet Learning via Policy Merging
ICLR 2024
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
CVPR 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
EMNLP 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
ICML 2023
Permutation Equivariant Neural Functionals
NIPS 2023
Neural Functional Transformers
NIPS 2023
Do deep networks transfer invariances across classes?
ICLR 2022
Noether Networks: meta-learning useful conserved quantities
NIPS 2021
Meta-learning Symmetries by Reparameterization
ICLR 2021
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards
ICLR 2020