Adrian Weller
98 papers
· 2013–2025
· 14 conferences
· across top CS/AI conferences
Achievements
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Academic Marathon
(12)
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Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(28)
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Hot Topic Early Bird
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Conference Polyglot
(14)
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Cross-Pollinator
(14)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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Conference Loyalist
(23)
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Dynamic Duo
(15)
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Triple Crown
π±
Topic Pioneer
π§¬
Topic Evolution
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Grand Slam
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Deep Specialist
(18)
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Keyword Champion
(7)
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Conference Pioneer
β‘
Prolific Year
(6)
π₯
Unstoppable
(13)
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The Questioner
(3)
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Century Club
(98)
ποΈ
Keyword Collector
(76)
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Trend Setter
Conferences
NIPS (23)
ICML (19)
ICLR (16)
AISTATS (12)
AAAI (10)
IJCAI (4)
UAI (4)
COLING (2)
CVPR (2)
EMNLP (2)
ACL (1)
ECCV (1)
ICCV (1)
JMLR (1)
Top co-authors
Research topics
Keywords
graphical model
(9)
representation learning
(9)
kernel approximation
(7)
variational inference
(5)
partition function
(5)
map inference
(5)
algorithmic fairness
(4)
neural network
(4)
large language model
(3)
gaussian kernel
(3)
softmax kernel
(3)
approximate inference
(3)
feature attribution
(3)
stochastic gradient descent
(3)
reinforcement learning
(3)
combinatorial optimization
(3)
adversarial learning
(3)
uncertainty quantification
(3)
linear programming relaxation
(3)
shortcut learning
(2)
Papers
Orthogonal Finetuning Made Scalable
EMNLP 2025
ALVIN: Active Learning Via INterpolation
EMNLP 2024
Repelling Random Walks
ICLR 2024
General Graph Random Features
ICLR 2024
Pairwise Similarity Learning is SimPLE
ICCV 2023
Human-in-the-Loop Mixup
UAI 2023
Quasi-Monte Carlo Graph Random Features
NIPS 2023
Simplex Random Features
ICML 2023
Iterative Teaching by Data Hallucination
AISTATS 2023
Scalable Infomin Learning
NIPS 2022
Structural Causal 3D Reconstruction
ECCV 2022
Hybrid Random Features
ICLR 2022
Iterative Teaching by Label Synthesis
NIPS 2021
Learning with Hyperspherical Uniformity
AISTATS 2021
Orthogonal Over-Parameterized Training
CVPR 2021
Rethinking Attention with Performers
ICLR 2021
Ode to an ODE
NIPS 2020
Orthogonal Estimation of Wasserstein Distances
AISTATS 2019
One-Network Adversarial Fairness
AAAI 2019
Unifying Orthogonal Monte Carlo Methods
ICML 2019
The Geometry of Random Features
AISTATS 2018
Lost Relatives of the Gumbel Trick
ICML 2017
Uprooting and Rerooting Graphical Models
ICML 2016
Clamping Improves TRW and Mean Field Approximations
AISTATS 2016
Bethe Bounds and Approximating the Global Optimum
AISTATS 2013