Boris Knyazev
12 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze
🏆
Keyword Champion
(3)
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(9)
Architectures
(9)
Core Methods
(6)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Computer Vision
(2)
Analysis
(2)
Application Areas
(2)
Learning Paradigms
(2)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Keywords
graph neural network
(5)
parameter prediction
(3)
neural network
(2)
model zoo
(2)
few-shot learning
(2)
neural network weight
(2)
attention mechanism
(1)
graph classification
(1)
zero-shot learning
(1)
neural network optimization
(1)
neural architecture
(1)
compositional generalization
(1)
model alignment
(1)
graph representation
(1)
transfer learning
(1)
foundation model
(1)
adam optimizer
(1)
scene graph generation
(1)
generative adversarial network
(1)
generative model
(1)
Papers
Accelerating Training with Neuron Interaction and Nowcasting Networks
ICLR 2025
(Almost) Free Modality Stitching of Foundation Models
EMNLP 2025
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
ICLR 2024
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
ICML 2023
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
NeurIPS 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
NeurIPS 2022
On Evaluation Metrics for Graph Generative Models
ICLR 2022
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
NeurIPS 2021
Context-Aware Scene Graph Generation With Seq2Seq Transformers
ICCV 2021
Generative Compositional Augmentations for Scene Graph Prediction
ICCV 2021
Parameter Prediction for Unseen Deep Architectures
NeurIPS 2021
Understanding Attention and Generalization in Graph Neural Networks
NeurIPS 2019