Seijin Kobayashi
11 papers · 2021–2025 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🗃️ Keyword Collector (54)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(6)
Artificial Intelligence
(5)
Architectures
(4)
Core AI
(3)
Learning Types · Machine Learning
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Keywords
continual learning
(2)
compositional generalization
(2)
transformer architecture
(2)
multi-agent reinforcement learning
(1)
stochastic gradient descent
(1)
adversarial robustness
(1)
bayesian inference
(1)
bayesian learning
(1)
model-based reinforcement learning
(1)
matrix factorization
(1)
local learning
(1)
policy gradient
(1)
uncertainty quantification
(1)
attention mechanism
(1)
model merging
(1)
few-shot learning
(1)
posterior distribution
(1)
optimal control
(1)
neural tangent kernel
(1)
representation learning
(1)
Papers
Attention as a Hypernetwork
ICLR 2025
Learning Randomized Algorithms with Transformers
ICLR 2025
Multi-agent cooperation through learning-aware policy gradients
ICLR 2025
Discovering modular solutions that generalize compositionally
ICLR 2024
Weight decay induces low-rank attention layers
NeurIPS 2024
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
NeurIPS 2023
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
NeurIPS 2022
The least-control principle for local learning at equilibrium
NeurIPS 2022
Learning where to learn: Gradient sparsity in meta and continual learning
NeurIPS 2021
Neural networks with late-phase weights
ICLR 2021
Posterior Meta-Replay for Continual Learning
NeurIPS 2021