Daiki Chijiwa
10 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Conference Polyglot (5)
π
Academic Marathon
(5)
π
Grand Slam
π§¬
Topic Evolution
π₯
Unstoppable
(5)
π
Century Club
(10)
Conferences
NIPS (3)
CVPR (2)
ICML (2)
AAAI (1)
ACML (1)
ICLR (1)
Top co-authors
Keywords
neural network
(3)
feature extractor
(2)
few-shot learning
(1)
transfer learning
(1)
feature extraction
(1)
knowledge distillation
(1)
data augmentation
(1)
network pruning
(1)
modality alignment
(1)
approximation error
(1)
generative model
(1)
random feature
(1)
validation loss
(1)
parameter efficiency
(1)
vision-language foundation model
(1)
multi-head attention
(1)
feature regularization
(1)
random initialization
(1)
zero-shot performance
(1)
model regularization
(1)
Papers
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
AAAI 2026
Post-pre-training for Modality Alignment in Vision-Language Foundation Models
CVPR 2025
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
ICML 2025
Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference
ICML 2025
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
CVPR 2024
Transferring Learning Trajectories of Neural Networks
ICLR 2024
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
ACML 2024
Regularizing Neural Networks with Meta-Learning Generative Models
NIPS 2023
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
NIPS 2022
Pruning Randomly Initialized Neural Networks with Iterative Randomization
NIPS 2021