James Holt
11 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28) π Keyword Champion (4)
π€
Dynamic Duo
(11)
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Prolific Year Β· Productive
ποΈ
Keyword Collector
(72)
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Century Club Β· Bronze
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(7)
Deep Learning
(6)
Application Areas
(5)
Architectures
(5)
Artificial Intelligence
(4)
Computer Science
(4)
Applications
(4)
Learning Types
(4)
Core AI
(2)
Optimization & Theory
(2)
Techniques
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Keywords
holographic reduced representation
(4)
reverse engineering
(2)
binary analysis
(2)
representation learning
(2)
convolutional network
(2)
neural network security
(1)
online learning
(1)
neural network compression
(1)
symbolic reasoning
(1)
uncertainty quantification
(1)
data subsampling
(1)
multi-label classification
(1)
deep learning
(1)
computational complexity
(1)
sequence modeling
(1)
data reduction
(1)
bag-level labels
(1)
logistic regression
(1)
feature encoding
(1)
multiple instance learning
(1)
Papers
Assemblage: Automatic Binary Dataset Construction for Machine Learning
NeurIPS 2024
A Walsh Hadamard Derived Linear Vector Symbolic Architecture
NeurIPS 2024
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
AISTATS 2024
Is Function Similarity Over-Engineered? Building a Benchmark
NeurIPS 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
NeurIPS 2024
A Coreset Learning Reality Check
AAAI 2023
Recasting Self-Attention with Holographic Reduced Representations
ICML 2023
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
NeurIPS 2023
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
ICML 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
Learning with Holographic Reduced Representations
NeurIPS 2021