Seijin Kobayashi
11 papers · 2021–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Conference Polyglot (2) π Interdisciplinary Bridge
π₯
Unstoppable
(5)
π
Century Club
(11)
β
The Questioner
Conferences
NIPS (6)
ICLR (5)
Top co-authors
Keywords
continual learning
(2)
neural tangent kernel
(1)
few-shot learning
(1)
bayesian learning
(1)
bayesian inference
(1)
matrix factorization
(1)
local learning
(1)
uncertainty quantification
(1)
attention mechanism
(1)
posterior distribution
(1)
optimal control
(1)
model-based reinforcement learning
(1)
variance reduction
(1)
nuclear norm regularization
(1)
low-rank representation
(1)
nuclear norm
(1)
recurrent neural network
(1)
weight initialization
(1)
weight decay
(1)
out-of-distribution detection
(1)
Papers
Multi-agent cooperation through learning-aware policy gradients
ICLR 2025
Learning Randomized Algorithms with Transformers
ICLR 2025
Attention as a Hypernetwork
ICLR 2025
Weight decay induces low-rank attention layers
NIPS 2024
Discovering modular solutions that generalize compositionally
ICLR 2024
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
NIPS 2023
The least-control principle for local learning at equilibrium
NIPS 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
NIPS 2022
Learning where to learn: Gradient sparsity in meta and continual learning
NIPS 2021
Neural networks with late-phase weights
ICLR 2021
Posterior Meta-Replay for Continual Learning
NIPS 2021