Walter Gerych
12 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
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Keywords
neural tangent kernel
(2)
societal bia
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large language model
(2)
multi-label classification
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training dynamics
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knowledge amalgamation
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model selection
(1)
image generation
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benchmark evaluation
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knowledge distillation
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knowledge editing
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data augmentation
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prompt engineering
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knowledge transfer
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multi-task learning
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bias correction
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model merging
(1)
transfer learning
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label dependencies
(1)
test-time adaptation
(1)
Papers
Neural Tangent Kernels Under Stochastic Data Augmentation
AAAI 2026
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
AAAI 2025
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
AAAI 2025
Learning under Temporal Label Noise
ICLR 2025
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
AAAI 2024
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
NIPS 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
TAXI: Evaluating Categorical Knowledge Editing for Language Models
ACL 2024
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
AAAI 2023
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
NIPS 2023
Recovering the Propensity Score from Biased Positive Unlabeled Data
AAAI 2022
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
NIPS 2021